Total 529 solution architect job vacancies in Art / Design / Entertainment category

What You’ll Do: 

• Partner with customers to execute comprehensive Cloud-hosted Cybersecurity solutions that support business needs and objectives in complex environments 

• Participate in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements as they relate to the cloud 

• Responsible for scoping, sizing and development of a solution Bill of Materials 

• Ensure solutions are ‘provisionable’, ‘billable’ and ‘supportable’ 

• Prepare and delivery business value solutions for customers, including proposal writing, presentation, conducting Proof-of-Concept to showcase its technical feasibility when necessary. 

• Highlight the positive impact of Cloud Security solution to help them achieve customer’s business goals. 

• Proposed the technical solution and oversee the selection of technologies and products and estimate resources required to develop the proposed solution to meet customer’s requirements in AWS, Azure, Google Cloud solutions. 

• Leverage deep technical expertise, knowledge of IT security compliance policies, and expertise with administering virtual and Cloud computing solutions to advise and educate both technical and non-technical members of the client's organization to achieve objectives 

• Own successful implementation of sold solutions by ensuring smooth transition of designed solutions to the delivery team and remain engaged with the client while becoming a “thought leader” for the next opportunity. 

• Work with the delivery team to ensure that a quality solution is delivered in a timely manner, within budget, and to our client's satisfaction 

• Communicate the solution’s value proposition to varying technical and non-technical clients, including executive ''C'' level management, VP, and Director levels, and end-users 

• Establish strong and lasting relationships with key stakeholders and decision makers in client organizations 

• Collaborate with Sales and Product Management team to develop sales playbooks outlining strategies for driving high value into strategic accounts 

• Contribute to the development of internal best practices as well as new innovative consulting services offerings that we can take to market 

• Contribute to Ingram’s presence and brand in the Cloud and Security community 

Qualifications & Interests: 

• Bachelor’s degree from an accredited university required 

• Minimum of 3-5 years of experience as a Security or Cloud Architect 

• Certifications: CCSP and CCSK certifications highly preferred 

• Previous experience and exposure to service-oriented architecture for cloud-based services 

• In depth knowledge and hands on experience with the full range of cloud service providers/solutions, inclusive of AWS, Microsoft Azure, and Google offerings 

• Experience with the implementation and support of advanced Identity and Access Management solutions, including directory services, PIV, single-sign on, authentication services, privileged access management, CASB, and federation, and integration to SIEM. 

• Ability to automate the provisioning and configuration of IT environments, including tools, such as CloudFormation, Puppet, Chef, Ansible, or PowerShell tools 

• Knowledge of firewalls, intrusion detection, encryption, monitoring, vulnerability scanning, and authentication solutions for traditional and Cloud-hosted IT systems 

• Proven experience in communicating and demonstrating the value of cloud solutions to a variety of stakeholders to address complex and competing drivers in complex technical environments, with a track record of buy-in and successful implementation, migration, change management, and full adoption 

• Ability to mix deep technical expertise with simple, everyday language to deliver a story that is memorable, educational and useful 

• Must have a firm grasp on the industry and anticipate trends and movements while balancing maturity and timing 

• Motivated self-starter who loves to solve challenging problems and feels comfortable working directly with customers and other members of the Ingram Micro organization 

• Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment 

• Comfortable managing multiple and changing priorities, and meeting deadlines in an entrepreneurial environment 

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark™ programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese is required as this role serves clients based in Hong Kong and involves direct customer communications in Cantonese

Responsibilities

• Projects ranging from commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure, MRT etc
• Work on and actively contribute to the design and development of architectural projects with opportunity to carry through the project through various phases of the project cycle (from concept design, schematic design, design development, construction)
• Coordinate with consultants from various disciplines and clients/stakeholders, and find creative and workable solutions for the project together with the project team
• Be a part of a team for design competitions or design, design presentation packages, design development package and tendering
• Attend and participate in meetings, technical discussions and coordination with contractors/consultants
• Follow-up on project and construction activities as well as to carry out contract administration responsibilities

Requirements

• Architectural degree/masters recognised by Board of Architects Singapore
• Min 2-7 years post graduate professional experience
• Competency in BIM/Revit, Archicad, Autocad, Sketch-up, In-Design as well as basic rendering, graphics publishing software program

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459 (https://gemsrecruit.com/)

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success.

We work with founders, C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe.  We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers Product, and Engineering teams to develop and execute on the account strategy for Stripe in market.

What you’ll do

You will be building trusted relationships with brand new founders to the C-suite, and solving mission-critical business challenges for our users. You will be building new business models and help expand existing ones with users of all shapes and sizes in Southeast Asia. 

Responsibilities

• Support key technical engagements for Stripe in Southeast Asia.
  
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments. 
  
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges. Develop and articulate the end to end customer transformation journey and create future roadmaps and architectures with deep 3rd party integrations in play.
  
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelizing the proposed solutions through executive briefings, readouts, presentations and solution demos. 
  
• Bring understanding of the Southeast Asia market to our Product and Engineering organizations by acting as the “Voice of the User” to bring insights, trends and opportunities to the leadership, product and engineering teams. 
  
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success.
  
• Act as a crucial part of the sales team, providing technical insight and solutions to prospective and existing platform users. Guide and provide technical expertise on Stripe and its benefits.
  
• Showcase the capability of Stripe's platform in solving business problems, highlighting features, benefits, and potential customizations. 
  
• Manage pre-sales projects, coordinating proof of concept development, and feasibility checks. Ensure all solutions proposed are viable, beneficial to our potential clients, and also accommodating to their customers.
  

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, or sales engineer, for a global software enterprise.
  
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
  
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities.
  
• Thorough understanding of the software development lifecycle and API architecture.
  
• Outstanding spoken and written communication skills, presentation skills, and confidence in explaining complex concepts to both technical and non-technical audiences.
  
• Gather an in-depth understanding of all of Stripe’s products and their applicability across diverse business models to beneficially cater to individual clients' and their customers' needs.
  

Preferred qualifications

• *Experience as a customer facing, domain expert in the payments space, presenting, and architecting solutions for platform customers.
  Prior experience driving technical sales and supporting them and their customer’s unique requirements 
  Can read, write, and understand code in one to many programming languages
  Experience with integrating Stripe or other RESTful APIs into web applications.
  Experience in systems design, building and deploying complex applications.
  Passionate about learning and actively seeks out knowledge
  Ability to work independently and confidently to develop a path forward with customers under ambiguous circumstances.
  Strategic and creative thinker who can proactively identify challenges and maintain a positive approach when facing difficult obstacles.
  Strong collaboration skills to work seamlessly with extended global teams to support our users.

Job Description:

• Responsible for the end-to-end analysis, design, and delivery of the Murex MX.3 Front Office platform within a corporate banking transformation programme.
• The role is embedded within a programme undertaking a strategic upgrade of its MX.3 platform — encompassing platform version uplift, new module onboarding (e.g. EQA, OSP Excess), and the implementation of comprehensive reconciliation, automation, and governance frameworks.
• The incumbent will act as the primary brige between Front Office business stakeholders and the Murex technical delivery team, owning requirement analysis, functional design, pricing and booking configuration, and STP solution design across all relevant asset classes.
• The role demands deep hands-on MX.3 expertise combined with strong consulting and client engagement capability.

KEY RESPONSIBILITIES

Requirement Analysis & Design:

• Lead requirement analysis in the Front Office space across multiple asset classes including FX, Money Markets (MM), Interest Rate Derivatives (IRD), Equity Derivatives (EQD), Credit Derivatives, Commodities, and Fixed Income products.
• Conduct structured workshops with Front Office users, traders, structurers, and sales stakeholders to capture business needs, system requirements, and future-state workflow expectations.
• Perform initial analysis of existing production data, trade populations, and existing test case suites to establish baseline and identify gaps relative to the target MX.3 configuration.
• Translate business requirements into detailed Functional Design Documents (FDDs), functional specifications, and configuration blueprints aligned with the MX.3 FO module capabilities.

Platform Delivery & Configuration:

• Work closely with Front Office business to design and build pricing models, instrument configurations, and booking capabilities within MX.3.
• Participate with internal business partners on cross-functional projects to provide Straight-Through Processing (STP) solutions for pricing, distribution, and trade execution workflows.
• Deliver and support enhancements on the Murex Global Markets platform (MX.3 FO module), managing functional delivery quality and ensuring smooth implementation and deployment of deliverables.
• Support Murex platform upgrade activities including report development, reconciliation framework design, and regression analysis related to version migration.
• Oversee system configuration, integration touchpoints, and data migration activities associated with the Front Office workstream.

Stakeholder Engagement & Advisory:

• Act as a trusted advisor to both business and IT stakeholders, assisting in the definition and delivery of high-quality FO solutions within the MX.3 platform.
• Communicate design principles, standards, vision, and roadmap decisions to stakeholders proactively, addressing queries and concerns raised across business and technology forums.
• Interact with stakeholders to develop practical domain roadmaps that advance the enterprise towards the target state, balancing business, technical, and delivery constraints.
• Be responsible for understanding business needs, identifying viable business solutions, and articulating the pros and cons of technical solution options to decision-makers.
• Build and maintain effective relationships with Front Office users, programme managers, and Murex vendor teams throughout the engagement lifecycle.

Testing & Quality Assurance:

• Perform various levels of functional testing for assigned deliverables, including System Integration Testing (SIT) and User Acceptance Testing (UAT).
• Contribute to and participate in formal release cycles, ensuring functional acceptance criteria are met prior to production deployment.
• Assist in resolving issues across Front Office, P&L, Market Data, and trade booking domains raised during testing or post-deployment production support phases.

Requirements:

KEY SKILLS:

• MX.3 Front Office Module: STP Solution Design.
• Multi-Asset Class Coverage: Murex Platform Upgrade.
• Trade Lifecycle (FO / MO / BO): Stakeholder Management.
• Pricing & Booking Configuration: SIT / UAT Management.
• Requirements Analysis & FDDs: Product Control Domain.

REQUIRED EXPERIENCE & QUALIFICATIONS

Experience:

• 10+ years of hands-on experience as a Front Office Business Analyst, System Analyst, or Functional Consultant on Murex MX.3 programmes within corporate or investment banking.
• Mandatory hands-on expertise in the Murex MX.3 Front Office module — including trade capture configuration, pricing model setup, workflow design, and instrument setup across multiple asset classes.
• Very strong exposure to all major asset classes: FX Spot/Forward/Options, Money Markets, Interest Rate Derivatives (IRS, CCS), Equity Derivatives, Credit Derivatives, Commodities, and Fixed Income.
• Strong understanding of the full trade lifecycle across Front Office, Middle Office, and Back Office tiers within a capital markets context.
• Proven experience gathering, documenting, and validating functional requirements and writing formal specifications (BRDs, FDDs, FSDs) for MX.3 FO scope.
• Hands-on experience as a System Analyst in a Product Control function is a strong advantage.
• Experience on Murex platform upgrade or migration projects (e.g. version 3.1.42.x to 3.1.6x.x) including reconciliation and report development is advantageous.
• Experience managing Murex Environment Management (configuration promotion across DEV, SIT, UAT, PROD environments) is an advantage.
• Proven track record of client servicing in a consulting or system integrator capacity, with the ability to understand customer needs and build effective working relationships.

Education

• Bachelor's degree or higher, preferably in Business Analytics, Financial Engineering, Computer Science, Information Systems Management, Finance, or a related discipline.
• Master's degree is an advantage but not mandatory where extensive industry experience is demonstrated.

Technical & Domain Skills:

• Deep functional knowledge of Murex MX.3 FO module components: instrument setup, pricing configuration, trade workflow, limit management, and P&L simulation.
• Solid experience in gathering and writing requirements and functional specifications in a structured methodology (Agile, Waterfall, or hybrid).
• Strong time management and demonstrable analytical and problem-solving skills in complex multi-workstream programme environments.
• Understanding of Murex MX.3 data model, MxML messaging, and cross-module dependencies (FO → MO → BO → Finance) is beneficial.

PERSONAL ATTRIBUTES:

• Highly motivated to work in the financial software and investment banking industry with a genuine interest in capital markets technology.
• Excellent written and verbal communication skills; able to produce professional-grade documentation and present confidently to senior stakeholders.
• Collaborative team player who can work effectively across functional workstreams (FO, Risk, Finance, Integration, Testing) within a programme environment.
• Proactive, structured, and delivery-focused with the ability to manage multiple priorities under programme deadline pressure.
• Intellectually curious with a continuous learning mindset and the ability to quickly absorb new regulatory, product, or platform developments.

Leadership & Delivery Responsibilities:

• Provide strategic guidance on FO solution design and implementation approach aligned with business objectives
• Lead cross-functional collaboration to drive consensus across FO, Risk, Finance, and Technology teams
• Influence solution decisions and resolve complex functional challenges across multiple workstreams
• Promote continuous improvement through process optimization and solution innovation
• Mentor junior analysts and enforce best practices in design, documentation, and delivery.

Job Description:

• Own both the delivery and architecture of enterprise integration across a transformation programme.
• The role will be accountable for ensuring integration workstreams are governed, prioritised, architecturally sound, and delivered in line with programme timelines, business priorities, and enterprise standards.
• The candidate must have strong hands-on and architectural experience with MuleSoft Anypoint Platform, API-led connectivity, reusable integration patterns, canonical data models, and enterprise integration governance.

Key Responsibilities:

• Defining and operating the integration COE operating model and intake process.
• Owning the integration roadmap, delivery plan, and capacity plan across all workstreams.
• Managing escalations, blockers, risks, and cross-programme dependencies.
• Leading stage-gate design reviews from intake through deployment.
• Setting and enforcing API standards, non-functional requirements, naming conventions, design patterns, and integration best practices.
• Maintaining the enterprise integration catalogue as the single source of truth.
• Designing scalable, reusable, and governed MuleSoft APIs and integrations.
• Reviewing MuleSoft solution designs, RAML/API specifications, data mappings, security models, and deployment approaches.
• Working with business, application, data, security, infrastructure, and delivery teams to align integration outcomes.
• Supporting estimation, planning, delivery governance, and release readiness for integration workstreams.

Requirements:

Must have Skills:

• MuleSoft Integration Architecture: Strong experience designing enterprise integrations using MuleSoft Anypoint Platform, API-led connectivity, reusable APIs, and MuleSoft deployment patterns, designing and reviewing reusable MuleSoft APIs, including System APIs, Process APIs, and Experience APIs.
• Enterprise Integration Governance & Standards: Ability to define and enforce API standards, integration patterns, NFRs, design governance, reusable assets, and integration catalogue management.
• Platform, Network & Security Architecture Alignment: Ability to work with network, security, cloud, and infrastructure architects to ensure the MuleSoft platform is correctly set up, secure, scalable, and aligned with enterprise standards.

Good to have:

• MuleSoft Certifications
• MuleSoft Certified Integration Architect, Platform Architect, or Developer certification.

Enterprise Architecture Experience:

• Experience with TOGAF or equivalent architecture frameworks, and ability to align integration architecture with broader enterprise architecture principles.

DevOps & Operational Support Knowledge:

• Experience with CI/CD, monitoring, logging, alerting, release management, and supportability patterns for MuleSoft integrations.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit 

www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next.

Infosys has been recognized as a Top Employer across APAC — contributing to our sixth consecutive year of global certification. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence. 

Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Position Description:

We are seeking a Sr / Principal Architect (AI) to serve as a trusted advisor and technical visionary for our enterprise clients across diverse industries. This individual will lead high-impact AI engagements — from strategy and ideation to architecture, implementation, and scaling — helping clients navigate the full lifecycle of AI adoption.

As the Lead architect, he/she will bridge business vision and deep technology execution, driving enterprise-grade AI solutions that are trustworthy, scalable, and aligned with organizational goals.

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.

Essential Responsibilities:

·         Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.

·         Ideation and Design Leadership: Facilitate design thinking sessions and co-innovation workshops with clients to identify impactful AI opportunities across business domains.

·         Architecture and Solution Design: Translate business and data needs into target-state AI architectures — covering model lifecycle, agentic systems design, and cloud-native AI platforms.

·         Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.

·         Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.

·         Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.

·         Thought Leadership: Represent the firm in client advisory councils, external forums, and conferences; publish thought leadership on enterprise AI architecture and innovation practices.

·         Team Mentorship: Guide solution architects and engineers in designing, deploying, and optimizing modern AI systems leveraging LLMs, multi-agent frameworks, and MLOps pipelines.

Required Skills and Experience

·         Proven experience as an Enterprise/Principal Architect or equivalent senior advisory role in AI, cloud, or digital transformation.

·         Mastery across multiple AI domains: generative AI, agentic systems, predictive analytics, and intelligent automation.

·         Strong understanding of AI infrastructure, including GPUs, model serving, orchestration, data pipelines, and observability tooling (e.g., Ray, Kubernetes, MLflow).

·         Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and hybrid architectures for AI workload optimization.

·         Familiarity with enterprise governance, capacity planning, and FinOps considerations for large-scale AI deployments.

·         Excellent communication and storytelling skills to engage both executive and technical stakeholders.

·         Cross-industry perspective with consulting or advisory experience across at least three major verticals.

·         Advanced degree in Computer Science, AI/ML, or related field preferred; additional executive education in strategy or innovation is a plus

Minimum Qualifications:

• BS degree in Mechanical Engineering, Engineering Technology, or a special combination of education and experience with demonstrated accomplishments.
• 18+ years in technology/solutions architecture, with 3+ years in AI-led transformation roles
• Able to communicate in English.

In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (SNG)

• Paid leave entitlements
• Health and Life Enrichment (HALE) program covering various well-being offerings
• Life insurance cover
• Optional health insurance cover
• Employer Assistance Program (EAP)
• Rewards and Recognition

Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Job Summary:
Seeking an AI Architect to lead retail AI initiatives—bridging tech and operations to deploy predictive, generative, and ML solutions that enhance customer experience, optimize supply chains, and drive revenue.

Job Description:

Omni-Channel Customer Experience & Personalization

• Develop and scale AI-driven personalization engines for our Omni-Channel platform and mobile app.

• Oversee the implementation of conversational AI to improve customer service and post-purchase support.

• Optimize in-store layouts, track customer behaviours, and enhance the brick-and-mortar shopping experience.

• Act as a subject matter expert and responsible for designing the architecture of technical solutions, developing and implementing new features and changes/enhancements, providing technical support and issues resolution.

• Perform customisation with an in-depth understanding of code structure, extension architecture, theming hierarchy, fallback components and cache implementation including APIs customization and integration (REST/SOAP).

AI Systems Architecture

• Lead the design and execution of end-to-end platforms and services that support advanced analytics use cases and enterprise AI capabilities.

• Align AI solutions with overall technology architecture and long-term business strategy.

• Provide strategic insights into the evolving AI landscape, including generative AI, LLMs, and machine learning frameworks.

Leadership & Strategy

• Strategize, lead and direct all activities related to AI Management - Project Management, Solution delivery, Management and Control, Suppliers, Vendors, Contractors, Internal IT Workforce Management.

• Evaluate, negotiate with, and manage third-party AI vendors and SaaS platforms specializing in retail technology.

Partnership

• Work as a partner with all Internal/External stakeholders, Vendor management.

• Initiate, evaluate & prioritize projects and process improvements along with business stakeholders.

• Ensure all deliverables are focused on quality & maximum ROI.

• Translate technical concepts into actionable insights for both technical and non-technical stakeholders.

• Evaluate third-party technologies and manage vendor relationships to ensure solutions meet organizational standards and performance requirements.

Project & Risk Management

• Manage all projects and ensure the deliverables are ON TRACK and exceeds/meets stakeholder expectations.

• Ensure project management principles are strictly adhered in all areas including risk management, hands-on prototyping and proof-of-concept delivery for emerging technologies.

• Enable automation, intelligence, and efficiency across business systems including applied AI.

Governance and Security

• Ensure information security policies are implemented across all IT functions and strictly adhered.

• Conduct periodic assessment, identify gaps and ensure relevant resolution are in place.

• Ensure all AI initiatives comply with data privacy regulations regarding consumer data.

People & Resource Management

• Create a culture of performance and value in technology services.

• Establish sophisticated control mechanisms for optimum, efficient, rightful allocation & utilization of resources.

Change Management & Service Excellence

• Ensure solution delivered are properly tested and meet specifications and timeline from request to deployment.

Other Responsibilities

• Monitor the results and quality of the different software solutions and projects implemented in the organisation.

• Perform Contract and Procurement Management.

• Develop and review IT policy and implementation processes.

• Support Audit for compliance and development of risk management.

• Any ad-hoc tasks assigned.

Role Requirement:
A hands-on role with minimum 2 years of experience in similar position with broad functional expertise preferably in retail industry & technical expertise in AI/ML solution architecture and operations systems and all facets of IT management & technology trends not limited to:

• Plan & execute implementation of the agreed initiatives. This will require working with the team in terms of analyzing the requirements, studying the options available & working towards a standard solution, which meets the requirements in an effective & efficient manner.

• Negotiate between external vendors and suppliers to resolve often highly technical or contentious issues and conflicts to ensure that projects and work packages are delivered on time and within budget.

• Degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline. Professional certification in Agile methodologies is a plus.

• Business Central, Tableau, Microsoft Fabric and Salesforce certification is an added advantage.

• Strong business understanding ability, strong technical learning and transfer ability, strong sense of responsibility, good communication and teamwork skills.

• Strong commercial acumen to tie AI metrics directly to retail KPIs (e.g. Conversion Rate.

• Excellent storytelling and communication skills to explain complex AI models.

• Minimum 2 years of experience leading technical/software engineering teams or managing complex tech projects.

• Minimum 2 years of hands-on experience developing AI/ML solutions, generative AI technologies and frameworks. with at least 2 years specifically within the retail, e-commerce, or FMCG sectors.

• Minimum 2 years of large-scale backend system development experience.

• Available to work period weekends and off-hours for on-site support requirements.

• Available for 24/7 call support.

Technical Skills:

• Profound knowledge in various scripting/programming languages, operating system & server administration, and mass system deployments including cloud platform and networking protocols.

• Proven experience designing and deploying machine learning systems with measurable business impact.

• Deep understanding of Machine Learning (ML), Deep Learning, NLP, and Computer Vision as applied to retail (e.g., image search, sentiment analysis).

• Experience with Generative AI applications in retail, such as automated product description generation, virtual try-ons, or personalized email copy.

• Proficiency in Python or R, and experience with cloud data platforms (AWS, Azure, or Google Cloud).

• Deep knowledge of supervised and unsupervised learning models, neural networks, and statistical modelling techniques.

• Proficient in SQL and database schema design; experience with both relational and non-relational databases.

• Experience with cloud platforms (Azure or GCP), distributed computing, container orchestration (Docker, Kubernetes), and ML Ops tools (ML flow, Kubeflow, Airflow).

• Familiarity with retail data structures, including POS (Point of Sale) data, ERP systems, and CRM systems.

Responsibilities

• Projects ranging from commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure, MRT etc
• Work on and actively contribute to the design and development of architectural projects with opportunity to carry through the project through various phases of the project cycle (from concept design, schematic design, design development, construction)
• Coordinate with consultants from various disciplines and clients/stakeholders, and find creative and workable solutions for the project together with the project team
• Be a part of a team for design competitions or design, design presentation packages, design development package and tendering
• Attend and participate in meetings, technical discussions and coordination with contractors/consultants
• Follow-up on project and construction activities as well as to carry out contract administration responsibilities

Requirements

• Architectural degree/masters recognised by Board of Architects Singapore
• Min 2-7 years post graduate professional experience
• Competency in BIM/Revit, Archicad, Autocad, Sketch-up, In-Design as well as basic rendering, graphics publishing software program

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459 (https://gemsrecruit.com/)

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Role Summary

We are seeking an experienced Elastic Platform Architect to lead the architecture, design, governance, and implementation of a next-generation enterprise observability and operational intelligence platform based on the Elastic ecosystem.

The successful candidate will be responsible for defining enterprise observability architecture, designing scalable Elastic platform solutions, establishing platform engineering standards, and driving the implementation of cloud-native monitoring capabilities across complex enterprise environments.

The role requires strong expertise in Elastic Stack technologies, Kubernetes-based platforms, GitOps deployment methodologies, Infrastructure-as-Code, DevSecOps practices, and enterprise integration architecture. The candidate will work closely with enterprise architects, cybersecurity teams, infrastructure teams, platform engineers, and business stakeholders to deliver highly resilient, secure, and scalable observability platforms supporting critical business operations.

Key Responsibilities

Enterprise Architecture & Platform Strategy

Define and maintain the target-state architecture roadmap for enterprise observability and monitoring platforms.

Develop architecture blueprints, reference architectures, design standards, and governance frameworks for Elastic-based platforms.

Lead architecture reviews, technical assurance activities, and solution governance processes.

Establish platform engineering standards covering scalability, availability, security, performance, and operational resilience.

Evaluate emerging observability technologies and recommend strategic platform enhancements.

Collaborate with enterprise architecture teams to align observability capabilities with broader technology transformation initiatives.

Elastic Platform Architecture & Design

Architect and govern enterprise deployments of:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Server

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Design distributed Elastic platform architectures supporting large-scale telemetry ingestion and analytics workloads.

Establish platform standards for:

Index Management

Shard Allocation

Cluster Scaling

Data Retention

Performance Optimization

Disaster Recovery

Define and govern Index Lifecycle Management (ILM) and Snapshot Lifecycle Management (SLM) strategies.

Design platform resiliency and high-availability frameworks supporting enterprise-grade service levels.

Observability & Operational Intelligence

Design enterprise observability frameworks covering:

Infrastructure Monitoring

Application Performance Monitoring (APM)

Distributed Tracing

Centralized Logging

Security Event Monitoring

Service Health Monitoring

Operational Analytics

Establish telemetry collection and data normalization standards across multiple technology domains.

Define alerting, event correlation, escalation, and incident visibility frameworks.

Develop monitoring standards, service health models, and operational dashboards supporting business and technical stakeholders.

Define SLI, SLO, SLA, and reliability measurement frameworks.

Cloud-Native & Kubernetes Architecture

Design Kubernetes-native observability platforms leveraging Elastic Cloud on Kubernetes (ECK).

Define deployment architectures supporting:

Kubernetes

OpenShift

Hybrid Cloud

Air-Gapped Environments

Architect GitOps deployment frameworks utilizing:

FluxCD

GitLab

Helm

Establish platform lifecycle management standards covering upgrades, deployments, configuration management, and operational governance.

Design secure multi-cluster deployment architectures supporting enterprise scalability requirements.

Platform Integration Architecture

Define enterprise integration patterns for onboarding infrastructure, application, network, and security telemetry sources.

Architect integrations across:

Enterprise Applications

Cloud Platforms

Security Solutions

Network Infrastructure

Storage Platforms

Kubernetes Environments

Identity & Access Management Platforms

Design data ingestion and enrichment frameworks supporting operational analytics and observability use cases.

Lead integration of observability platforms with IT Service Management and operational workflow systems.

Security, Compliance & Governance

Define platform security architecture including:

RBAC

Authentication & Authorization

Encryption Standards

Certificate Management

Secrets Management

Audit Controls

Collaborate with cybersecurity teams to implement observability-driven security monitoring capabilities.

Ensure compliance with enterprise security policies, governance standards, and regulatory requirements.

Establish platform governance processes supporting change management, operational controls, and risk management.

Automation, DevSecOps & Platform Engineering

Define Infrastructure-as-Code standards utilizing:

Terraform

Ansible

Establish CI/CD and GitOps operating models supporting platform lifecycle automation.

Design automated deployment, testing, upgrade, rollback, and recovery processes.

Drive platform engineering best practices to improve operational efficiency and reliability.

Promote automation initiatives supporting scalability, consistency, and operational excellence.

Technical Leadership & Stakeholder Engagement

Provide technical leadership and architectural guidance to engineering and operations teams.

Facilitate architecture workshops, technical reviews, and stakeholder engagement sessions.

Mentor platform engineers and observability specialists on architecture standards and best practices.

Develop architecture documentation, technical standards, solution blueprints, operational procedures, and implementation guidelines.

Support strategic planning, technology assessments, and platform modernization initiatives.

Required Qualifications & Experience

Technical Expertise

Extensive experience designing and implementing enterprise observability platforms.

Strong hands-on expertise in:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Management

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Strong understanding of distributed systems, large-scale data platforms, and enterprise monitoring architectures.

Cloud & Platform Technologies

Kubernetes

OpenShift

Docker

AWS

Azure

Hybrid Cloud Environments

Automation & Platform Engineering

Strong experience with:

Terraform

Ansible

GitOps

GitLab

FluxCD

Helm

CI/CD Pipelines

Observability & Operations

Experience designing:

Monitoring Frameworks

Logging Architectures

Tracing Solutions

Alerting Frameworks

Event Correlation Models

Operational Intelligence Platforms

Enterprise Integration

Experience integrating observability platforms with:

ServiceNow

Enterprise Security Platforms

Identity Management Solutions

Network and Infrastructure Technologies

Preferred Qualifications

Elastic Certified Observability Engineer

Certified Kubernetes Administrator (CKA)

HashiCorp Terraform Associate

Red Hat OpenShift Certification

GitLab Professional Certifications

AWS and/or Azure Certifications

Experience delivering observability platforms within government agencies, financial institutions, telecommunications organizations, or large enterprise environments.

Experience with AIOps, OpenTelemetry, Service Intelligence, and advanced analytics platforms.

Employment Type

Contract Position (6 Months)

Renewable subject to project requirements, performance, and business needs.

We are seeking a dynamic, consultative **Cloud Architect** to join our team. This role is tailored for an experienced professional who is deeply familiar with the core cloud infrastructure, networking, security, and observability concepts required by large enterprise customers.

In this role, you will bridge the gap between high-level enterprise business strategy and technical execution. You will work closely with enterprise clients to uncover their specific structural or operational pain points, design purpose-fit, well-architected multi-cloud environments across **AWS** and **Google Cloud Platform (GCP)**, and maintain end-to-end technical accountability for the successful outcome of the delivery.

1. Enterprise Networking & Security Architecture

Complex Cloud Networking: Design resilient, enterprise-grade network topologies involving complex routing, Hub-and-Spoke models, VPCs, Shared VPCs, Transit Gateways, AWS Direct Connect, and Google Cloud Interconnect.

Enterprise Security Concepts: Architect robust Identity and Access Management (IAM) strategies, encryption models (KMS/Cloud KMS), and perimeter security controls (WAF, Enterprise Firewalls, DDoS mitigation) tailored for large-scale multi-tenant environments.

SecOps & Compliance Integration: Define the patterns for automated security guardrails, secure landing zone baselines, and continuous compliance scanning within enterprise delivery pipelines.

2. Core Infrastructure & Observability Governance

Well-Architected Framework Alignment: Serve as the custodian of cloud architectural integrity, ensuring all custom designs strictly map back to the AWS Well-Architected Framework and GCP Architecture Framework pillars (with a strong focus on Operational Excellence and Security).

Centralized Logging & Monitoring Architecture: Design enterprise-wide observability strategies. Define patterns for multi-account centralized logging, audit trails, real-time alerting, and telemetry aggregation required for operational visibility and compliance.

IaC Governance: Define the standards and architectural structures for Infrastructure as Code (IaC). Review configurations to ensure modular, secure, and compliant environments across client workloads.

3. Consulting, Discovery & Delivery Accountability

Pain Point Identification: Engage directly with enterprise stakeholders and technical teams to diagnose existing infrastructure bottlenecks, operational inefficiencies, visibility gaps, and architectural pain points.

Purpose-Fit Solution Design: Translate identified client challenges and strict technical/regulatory requirements into tailored, purpose-fit technical blueprints that solve specific business issues.

Delivery Accountability: Act as the technical lead and owner for assigned client engagements, maintaining full accountability for the successful execution and technical outcome of the final delivery.

Qualifications

Experience:

• 6 to 8 years of experience in cloud architecture, enterprise network engineering, or cloud infrastructure design.
• At least 2 years of active experience in a professional services or IT consulting environment.

Highly Regulated Environments (Plus):

• Strong track record of navigating architecture requirements for regulated industries (e.g., Public Sector, Financial Services) and compliance frameworks like IM8, SOC2, or ISO27001.
• Government Commercial Cloud / GCC (Plus):Experience engineering within the Government Commercial Cloud (GCC / GCC 2.0) framework or equivalent public-sector cloud architectures.

Technical Skills & Best Practices

• Observability & Logging Mastery: Deep understanding of distributed monitoring, logging, and tracing concepts. Strong familiarity with native cloud services including AWS CloudWatch, AWS CloudTrail, Google Cloud Monitoring, and Google Cloud Logging.
• Enterprise Network & Security Familiarity: Deep familiarity with enterprise cloud connectivity, BGP, DNS routing, load balancing topologies, Service Meshes, and multi-tenant isolation techniques.
• Automation & CI/CD Guardrails (Preferred):Strong understanding of best practices surrounding Terraform (or OpenTofu) and GitHub Workflows (GitHub Actions). Ability to define architectural standards, review configurations, design workflow gates, and guide engineering teams on implementation.
• Code & Scripting Comprehension: Ability to read, interpret, and evaluate script logic (Python, Bash, or Go) to ensure automated deployment architectures align with operational blueprints.

Desirable Tooling & Domain Pluses (Good-to-Have)

• Enterprise Security & Proxy Tooling: Familiarity with integrating or architecting alongside third-party enterprise security solutions such as Palo Alto NGFW, Forcepoint, or Zscaler web proxies is a major plus.

Third-Party Observability:

• Familiarity with enterprise-grade monitoring and SIEM platforms like Datadog and Splunk is highly valued.

Enterprise Data Architecture & Governance

• Strong conceptual understanding of modern data topologies (Data Lakes, Lakehouses, Data Mesh). Familiarity with cloud-native data governance, cataloging, and access control tools (e.g., AWS Lake Formation, GCP Dataplex, AWS Glue, Google Cloud Data Catalog).

Platform Engineering Concepts

• Conceptual knowledge of platform engineering practices, including Internal Developer Platforms (IDPs), defining "Golden Paths," or exposure to tools/methodologies like Backstage, GitOps, or Crossplane.
• Emerging Workloads: General exposure to high-level architectural requirements for hosting modern workloads, such as scalable infrastructure concepts for AI/ML pipelines.

Certifications

• AWS: Certified Solutions Architect – Professional (Must Have)
• AWS Certified Advanced Networking – Specialty (Must Have)
• AWS Certified Security – Specialty (Must Have)
• GCP Professional Cloud Architect
• GCP Professional Cloud Network Engineer, or Professional Cloud Security Engineer.

Soft Skills

• Consultative Mindset: Strong empathy and active listening skills required to successfully draw out pain points and align technical solutions with client business goals.
• Ownership & Accountability: A driven, results-oriented attitude with a track record of driving complex technical projects over the finish line.
• Communication: Excellent verbal and written communication skills with the ability to articulate complex networking, security, and architectural concepts to both technical teams and executive stakeholders.

Role Overview

We are seeking a hands-on AI Solutions Architect & Delivery Lead to drive the design, development, and delivery of AI solutions across enterprise environments.

This role combines practical, build-and-deliver execution with solution architecture and technical leadership. The successful candidate will play a key role in delivering AI use cases, guiding a growing AI engineering team, and supporting client engagements, while contributing to the evolution of our AI and software capabilities.

Key Responsibilities

1. AI Solution Delivery (Primary Focus)

• Lead end-to-end delivery of AI solutions, from proof-of-concept (POC) to production deployment

• Work hands-on with platforms and related AI technologies

• Translate business use cases into practical, implementable AI solutions

• Ensure delivery quality, scalability, and operational readiness

2. Solution Architecture

• Design AI solutions integrated with enterprise systems (e.g. OSS/BSS, system integrations)

• Evaluate architectural trade-offs and propose scalable, maintainable designs

• Contribute to the solution strategy and technical direction for AI initiatives

3. Technical Leadership & Team Development

• Lead, coach, and guide the AI team, particularly junior engineers

• Establish and reinforce best practices (e.g. CI/CD, code quality, delivery discipline)

• Provide hands-on mentorship while maintaining active involvement in delivery work

4. Presales & Client Engagement

• Support presales activities, including:

  • Technical proposals

  • Solution design discussions

  • Demos and POCs

• Work closely with stakeholders to shape solutions aligned to client needs

5. Collaboration with Software Team (Future Scope)

• Collaborate with the software development team on integrated initiatives

• Contribute towards the long-term convergence of AI and Software capabilities

• Potential to oversee broader AI + Software team responsibilities as the role evolves

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field

• Proven experience in:

  • Hands-on AI/ML solution development and deployment

  • System architecture and enterprise solution design

• Strong programming and engineering capabilities (e.g. Python, APIs, system integration)

• Experience working with AI platforms, data pipelines, or enterprise systems

• Demonstrated ability to balance hands-on delivery with technical leadership responsibilities

Key Attributes

• Execution-driven – able to deliver working solutions, not just concepts

• Hands-on leader – actively builds while leading the team

• Pragmatic architect – balances ideal design with real-world constraints

• Collaborative and adaptable – comfortable working in a fast-evolving AI environment

Role Positioning

• This is a hands-on leadership role, not a purely managerial position

• Immediate focus is on AI delivery and team capability building

• The role is designed to grow into broader responsibilities, including potential oversight of combined AI and Software functions

Why Join Us

• Opportunity to shape AI capabilities in a growing team

• Work on real-world AI applications across enterprise environments

• Play a key role in building the future AI + Software function in IP-Tribe

• Play a strategic role in building and scaling a high-impact partner ecosystem
• Work closely with partner CTOs and technical leaders to co-create GTM solutions

About Our Client

Our client is a global cloud and AI platform provider with a strong focus on building a scalable partner ecosystem. With rapid growth across Asia and international markets, the organisation works closely with system integrators, ISVs, and managed service providers to deliver innovative, enterprise-grade solutions. Employees benefit from a collaborative, high-growth environment focused on driving joint success with partners and advancing cloud and AI adoption.

Job Description

• Co-create cloud & AI solutions with partners
• Enable partners through training and architecture guidance
• Support POCs, deployments, and partner-led deals
• Build reusable solution frameworks
• Drive joint GTM and technical success

The Successful Applicant

• At least 5 years in solutions architecture / partner pre-sales
• Experience with cloud ecosystems (SI, ISV, MSP)
• Strong cloud architecture knowledge
• Experience enabling partner technical teams
• Good stakeholder and communication skills

What's on Offer

• High-impact partner-facing role
• Regional exposure across ASEAN
• Competitive salary + growth opportunities
• Learning & certification support

Michael Page International Pte Ltd | Registration No. 199804751N 

Responsibilities:

• The projects that we are involved in covers a very broad spectrum including commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure etc.
• Project Management, coordinate and assist in the day to day running of projects assigned.
• Liaise and coordinate with Clients, Consultants and Contractors.
• Ensure compliance with local building codes and regulations.
• Confidently administer the contract and effectively manage the project team.
• Coordinate and carry out tender, evaluation, recommendation and award processes.
• Proactively identify and resolve technical coordination, site or compliance issues.
• Keep updated on contractual and authorities' requirements.

Requirements:

• Degree in Architectural from recognized tertiary institution under BOA Singapore
• Minimum 8 years post graduate experience
• Familiar with BIM and Authorities submission process and guidelines
• Proficient in Autocad, Revit, Sketchup

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Asthe AI Agent Architect / Senior Developer, you will be the core brain behindour flagship enterprise AI platforms. You will transition our systems frombasic LLM wrappers into autonomous, reasoning-capable AI ecosystems.

Yourprimary mission is to design and develop advanced Agentic workflows, buildrobust Knowledge Bases utilizing GraphRAG, and engineer complex multi-modaldata processing pipelines. You will ensure our AI solutions deliverexpert-level accuracy, deep contextual understanding, and enterprise-gradesecurity.

KeyResponsibilities

·      AdvancedRAG & Knowledge Base Engineering: Design and implement next-generation RAGsystems using Knowledge Graphs (GraphRAG), vector databases, and semanticsearch. Develop robust OCR pipelines for parsing complex, unstructureddocuments (e.g., contracts, compliance manuals) and multi-modal dataextraction.

·      AIAgent Architecture: Architect and deploy multi-agent systems (using frameworkslike LangChain, LlamaIndex, or AutoGen) where distinct AI agents can plan,reason, execute tools, and collaborate to solve complex enterprise tasks.

·      LLMIntegration & Optimization: Evaluate, fine-tune, and deploy various LargeLanguage Models (both closed-source like OpenAI/Anthropic and open-sourcemodels). Optimize prompts and reasoning chains to maximize accuracy andminimize latency.

·      Backend& Enterprise Integration: Build scalable backend services (primarily inPython, with Java/Spring Boot for legacy or enterprise integrations) to exposeAI capabilities via robust APIs.

·      Guardrails& Hallucination Mitigation: Implement strict logical guardrails, continuousevaluation frameworks, and "anti-hallucination" mechanisms to ensureall AI outputs are verifiable, strictly grounded in the proprietary knowledgebase, and compliant with enterprise security standards.

·      Performany ad-hoc duties assignedby the Company as required.

RequiredQualifications

·      Experience:3-5+ years in software engineering, with at least 1.5 - 2 years heavily focusedon LLM applications, generative AI, or complex NLP systems.

·      AI& Agent Frameworks: Deep hands-on experience with LangChain, LlamaIndex, orsimilar multi-agent orchestration frameworks.

·      DataParsing & Knowledge Representation: Proven expertise in OCR technologies(e.g., unstructured.io, PaddleOCR) for complex PDF parsing, and strongexperience with Vector Databases (e.g., Milvus, Qdrant, Pinecone) and GraphDatabases (e.g., Neo4j).

·      ProgrammingMastery: Expert-level proficiency in Python (the primary language for the AIstack). Familiarity with Java/Spring Boot is highly preferred to ensureseamless integration with our existing backend ecosystem.

·      LanguageProficiency: Professional fluency in English and Mandarin is mandatory toeffectively collaborate with our diverse technical stakeholders and regionalenterprise clients.

·      ProblemSolving: Strong architectural vision with the ability to translate complexbusiness compliance and expert knowledge into structured AI engineeringpipelines.

The"Alpha" Edge (Preferred & Bonus Qualifications)

·      DomainContext: Previous experience building AI products for Legal, HR, Compliance, orenterprise SaaS。

·      ModelDeployment: Experience with local LLM deployment and inference optimization(e.g., Ollama, vLLM, TensorRT-LLM).

·      MLOps:Familiarity with deploying AI pipelines on cloud infrastructure (AWS/GCP) usingDocker and Kubernetes.