Responsibilities:

• Participate in full life cycle of project, responsible for technical analysis, formulation of related technical solutions; Responsible for technical architecture design, technology selection and implementation plan formulation;
• Responsible for the planning and business architecture of the core functions and common modules of the platform, as well as the stability, performance monitoring and performance optimization of the core system;
• Responsible for the overall system architecture of the product, responsible for the system security design, development and related design documentation;
• Responsible for leading the technical team to complete the platform architecture objectives and propose solutions to technical problems arising in the development process;
• Optimize the performance of the existing system, solve the key technical problems of the platform;
• Responsible for the performance, stability, scalability, security and other indicators of the system, and have certain foresight;
• Participate in the formulation of design and implementation specifications, and guide the design, implementation and deployment work;
• Cooperate with project manager to make technical decision and carry out technical risk assessment;
• Responsible for the technical guidance of software development team.

Requirements:

• Rich hands-on experience as Architect of Salesforce project implementation;
• In-depth knowledge of HTML/HTML 5, CSS/CSS 3, JavaScript and related front-end frameworks (Bootstrap, JQuery, AngularJS);
• Familiar with ASP MVC, ASP Web API, and experience in integration with third-party API systems;
• Familiar with git and other version management tools;
• Familiar with Salesforce platform configuration, Profile, Permission Set, Flow, etc.;
• Proficient in APEX language, proficient in Apex Classes, Apex Trigger, Visualforce Page, Lightning Components, LWC, etc.;
• Familiar with IO, multithreading, distributed, collection and other basic apis, familiar with common design patterns and development principles;
• Familiar with Salesforce products and peripheral platform/application integration solutions, experience in integration development is preferred;
• Knowledge in Triggers, Workflows, Page layouts, roles, profiles, reports & dashboards.

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.

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

The Manager, Solutions Architect is responsible for designing, governing, and delivering scalable technology solutions that support FairPrice Group's merchandising, sourcing, procurement, and enterprise operations transformation initiatives.

The role serves as the bridge between business, product, project, and engineering teams, translating business requirements into end-to-end solution architectures while ensuring alignment with enterprise architecture standards, security requirements, scalability needs, and business objectives.

The incumbent will lead solution design across multiple concurrent initiatives, partnering closely with business stakeholders, project managers, business analysts, vendors, and development teams to drive successful delivery of strategic and operational technology programmes.

Key Responsibilities

Solution Architecture & Design

• Define end-to-end solution architecture for merchandising, procurement, sourcing, inventory, and enterprise business applications.

• Translate business requirements into scalable, secure, and maintainable technology solutions.

• Produce architecture artefacts including: Solution Design Documents, Integration Architecture, Data Flow Diagrams, Application Architecture Blueprints, Technical Design Specifications, Advisory on integrations, AI first solution designs

• Ensure solutions adhere to enterprise architecture principles, security standards, and technology governance requirements.

• Evaluate technology options and recommend optimal solution approaches balancing cost, scalability, speed, and business value.

Business & Stakeholder Partnership

• Partner closely with business stakeholders to understand business objectives, pain points, operational processes, and transformation opportunities.

• Collaborate with Business Analysts to refine requirements and ensure solution feasibility.

• Facilitate architecture workshops and design reviews with business and technology teams.

• Provide technology advisory and solution recommendations to support business decision-making.

• Act as a trusted advisor to merchandising, sourcing, procurement, and operations stakeholders.

• Ability to work with internal technology COE’s focusing on integration, quality assurance and AI.

Programme & Project Delivery

Lead solution architecture across multiple concurrent initiatives including:

• Merchandising System enhancements and transformation

• Night Buying System

• F&V Claims Management

• Integrated Supplier Portal 

• Sourcing & Contract Management

• SKU Transformation & BOM Setup 

Key responsibilities include:

• Supporting project planning and solution estimation.

• Managing technical dependencies across projects.

• Ensuring architecture alignment across programmes.

• Supporting testing, deployment, and implementation activities.

• Identifying and mitigating architecture and technical risks.

• Collaboration with Integration COE, overlook and own the integration for the above scope of work.

Technology Delivery & Engineering Collaboration

• Work closely with front-end and back-end development teams to ensure solution designs are implemented as intended.

• Review technical designs, development approaches, and integration patterns.

• Provide architecture guidance during development, testing, and deployment phases.

• Ensure solutions are scalable, supportable, and operationally sustainable.

• Drive adoption of best practices in application design, integration, API architecture, and system performance.

Vendor & Partner Management

• Manage external vendors, system integrators, and technology partners involved in solution delivery.

• Review vendor solution proposals and technical designs.

• Ensure vendors comply with FairPrice Group architecture, security, and governance standards.

• Track vendor delivery quality, risks, issues, and remediation plans.

• Support contract discussions and technical evaluations during procurement exercises.

Governance, Risk & Compliance

• Ensure solution compliance with enterprise technology standards, cybersecurity requirements, and regulatory obligations.

• Conduct architecture reviews and design assurance activities.

• Identify technical debt, architecture risks, and operational vulnerabilities.

• Support audit, risk assessment, and compliance activities when required.

• Maintain architecture documentation and knowledge repositories.

Requirements

Education

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Information Systems, or related discipline.

Experience

• Minimum 8–12 years of experience in solution architecture, application design, systems analysis, or enterprise technology delivery.
• Experience delivering large-scale enterprise application implementations and transformation programmes.
• Strong understanding of business applications supporting: Merchandising, Procurement, Sourcing, Supply Chain, Inventory Management, Retail Operations
• Experience managing multiple projects simultaneously in a complex enterprise environment.
• Experience working with external vendors and system integrators.

Technical Competencies

• Solution Architecture

• Enterprise Application Design

• Systems Integration

• API Architecture

• Data Architecture & Data Flows

• Cloud Technologies

• Application Development Lifecycle (SDLC)

• Front-end and Back-end Architecture

• Architecture Governance

• Technology Risk Assessment

• Vendor Solution Evaluation

• Good understanding of mulesoft, SAP CPI and other integration solutions

• Good to have agentic AI experience

Role Summary

The IAM Architect – Manager is responsible for designing and leading identity lifecycle, access, and authorization solutions across all identity types, including human (employees, partners, customers) and non‑human identities (applications, Agents, APIs, service accounts, workloads). The role combines hands‑on architecture with delivery leadership and client engagement.

Key Responsibilities

• Define end‑to‑end IAM, Access Management, and Authorization architecture aligned to Zero Trust.
• Design and govern identity lifecycle, SSO, MFA, federation, and token‑based access for users, applications, APIs, and services.
• Lead fine‑grained authorization using PBAC / ABAC / RBAC, including externalized authorization and policy‑as‑code patterns (e.g., Plain ID).
• Establish secure access models for machine‑to‑machine and workload identities.
• Act as IAM solution lead for client delivery engagements, proposals, and architecture governance.
• Mentor IAM team members and contribute to practice growth and thought leadership.

Required Skills & Experience

• Minimum 12 years in IAM security architecture.
• Strong experience in Access Management and Authorization.
• Hands‑on knowledge of OAuth 2.0, OpenID Connect, SAML, and authorization frameworks.
• Experience with platforms such as Ping, ForgeRock, Okta, Microsoft Entra ID, PlainID.
• Client facing Consulting or system integrator experience is must.

About OneByZero

OneByZero is a Frontier Systems Integrator building agentic AI systems for leading banks, telcos, insurers, and retailers across Asia Pacific. We work on mission-critical problems for organizations operating the region's financial and digital infrastructure. Operating exclusively on AWS, we combine deep technical expertise with strong partnership programs that enable innovation, scale, and delivery excellence. We build with people who are technically serious, outcome-focused, and passionate about solving complex enterprise challenges.

The Role

The Forward Deployed Architect (Agentic AI) serves as the technical authority for client engagements involving agentic AI systems. Embedded within client environments, you will own the architecture and delivery of enterprise-scale AI solutions from concept through production deployment.

You will design and govern multi-agent systems operating in highly regulated industries, ensuring reliability, security, auditability, and business value. This includes determining orchestration approaches, tool integrations, human oversight mechanisms, evaluation frameworks, monitoring strategies, and production governance.

You will work across AWS Bedrock, Agent Core, frontier AI models, orchestration frameworks, and evaluation tooling while helping clients navigate the rapidly evolving AI landscape and make informed architectural decisions.

This is a hands-on role requiring architectural leadership, technical design, prototyping, code reviews, and direct engagement with executive stakeholders.

Key Responsibilities

Agentic AI Architecture

• Design and own enterprise-scale agentic AI architectures.
  
• Develop multi-agent orchestration patterns, tool integrations, memory management, retrieval systems, evaluation frameworks, guardrails, and observability.
  
• Ensure architectural decisions align with business objectives and governance requirements.
  

Human-in-the-Loop Design

• Design workflows that combine AI autonomy with appropriate human oversight.
  
• Determine review and approval checkpoints.
  
• Ensure agent outputs are transparent and explainable for business users and compliance teams.
  

Frontier AI Technology Leadership

• Advise clients on AWS Bedrock, Agent Core, foundation models, orchestration frameworks, and deployment strategies.
  
• Evaluate technology trade-offs and recommend solutions aligned to enterprise constraints and objectives.
  

Enterprise Integration

• Architect solutions that integrate with legacy systems, APIs, enterprise platforms, security controls, and existing workflows.
  
• Design around real-world constraints including data quality, access limitations, and infrastructure requirements.
  

Reliability & Evaluation

• Define measurable success criteria before development begins.
  
• Build evaluation frameworks using realistic business scenarios.
  
• Establish monitoring, drift detection, failure management, and production support strategies.
  

Engineering Leadership

• Review technical designs and implementation approaches.
  
• Identify architectural risks, security concerns, and quality issues.
  
• Mentor engineering teams and establish delivery standards.
  

Client Engagement & Pre-Sales

• Lead technical workshops with CTOs, CDOs, CIOs, and Risk leaders.
  
• Translate business goals into practical AI solutions.
  
• Support solution scoping and statement-of-work development.
  

Reusable Intellectual Property

• Create reference architectures, governance frameworks, evaluation methodologies, and design patterns.
  
• Contribute assets that can be leveraged across future engagements.
  

Requirements

Required Qualifications

Experience

• 8+ years of experience in software engineering, AI/ML systems, cloud architecture, or related fields.
  
• Minimum 3 years building and deploying production AI or agentic systems.
  
• Demonstrated experience delivering enterprise-grade technology solutions.
  

AWS Expertise (Mandatory)

Hands-on experience with:

• AWS Bedrock
  
• Agent Core
  
• SageMaker
  
• Lambda
  
• API Gateway
  
• Enterprise security services
  
• Monitoring and observability services
  

Agentic AI Expertise

• Experience designing and deploying multi-agent systems in production.
  
• Strong understanding of:
  
• Agent orchestration frameworks
  
• RAG architectures
  
• MCP and tool design
  
• Prompt engineering
  
• Evaluation frameworks
  
• Agent reliability and failure modes
  
• Production monitoring
  

Enterprise Architecture

• Experience integrating AI systems with enterprise applications.
  
• Knowledge of API design, event-driven architectures, security boundaries, and access controls.
  
• Understanding of data governance and enterprise platform constraints.
  

Regulated Industry Experience

• Experience working within Banking, Financial Services, Insurance (BFSI), or Telecommunications environments.
  
• Understanding of AI governance, compliance, risk management, and auditability requirements.
  

Security & DevSecOps

• Knowledge of prompt injection risks.
  
• Experience securing tool-enabled agents.
  
• Understanding of data leakage prevention and enterprise security controls.
  

Executive Communication

• Ability to communicate complex AI concepts to senior stakeholders.
  
• Comfortable engaging with executive leadership and risk teams.
  
• Strong written and verbal communication skills.
  

Preferred Certifications

Required

• AWS Certified Solutions Architect – Professional
  
• AWS Certified Machine Learning Specialty or ML Engineer Associate
  

Strongly Preferred

• AWS Certified Generative AI Developer
  
• AWS Certified Security Specialty

Job Description:

· Supervising the interior fit out works, coordination with sub-contractors and in-house workers

· To assist Project Management team in ensuring that the works are carried out to schedule and in accordance with relevant regulations

· Plan, supervise and control project operations including manpower planning, and work schedule

Requirements:

· At least 3 years’ experience in interior fit out works.

· Safety Supervisor Certificate or relevant certificate

· Able to communicate and coordinate well with sub-contractors

Responsibilities:

• Mentor a team of engineers in Basic design to carry out Hull form and General arrangement development, Hydrodynamic and stability calculations for a tender or ongoing projects.
• Assist in the development of new products.
• Support other in-house departments and external parties, where required, by providing specialist technical advice and information.
• To generate list of drawing/document specific to each project.
• Prepare technical specifications for equipment procurement (e.g. major deck equipment) and perform technical evaluation of vendor’s bid.
• Carry out naval architectural calculations, hydro dynamic analysis, stability calculations.
• Prepare and review layout arrangement in accordance with building specification, rules, and regulations (fire, watertight integrity, accommodation layouts…)
• Manage and check technical information of external suppliers of equipment and systems and coordinate/cooperate with engineers from other trades in the organization.
• To check and approve calculation/drawings and material list and ensure that they conform to contractual technical specifications, installation control documents, Classification and Statutory Rules/Regulations.
• Participate in tests and trials, where required.
• Liaise with ship owners and surveyors.
• Ensure that all design issues raised by owner, Class and Flag on drawings and documents are timely and properly captured in Action Item Register for follow-up actions.
• Keep abreast with current technological developments and products.
• Keep abreast with Classifications Rules, military and industrial standards relevant to design activities.

Requirements:

• Degree in Naval Architecture/ Marine Engineering or Structural Engineering from a recognized University
• Strong knowledge of international design codes, Classification/Statutory Rules, and Regulations.
• Possess Engineering Design and Project Management skills
• Strong Leadership and Interpersonal skills to manage assigned team members and other stakeholders
• Strong experience in Naval architecture, Structure, Outfitting, Accommodation design
• Proficiency in AutoCAD, Aveva Marine, NAPA, Microsoft office, Rhino 3D, CFD software knowledge
• High proficiency in 3D modeling skills using 3D CAD software will be an advantage.
• At least 10 years’ experience in engineering design in Marine/Offshore/Oil & Gas industry or Classifications Societies

Other Information:

• Location: 16 Benoi Road(Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am to 5.00pm

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.

• 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 

Nuway CFR, a Global Executive Search firm is building Leadership teams for their MNC clients in ASIA.

We are looking out for a Presales Solution Architect in Singapore for one of our Technology Consulting company.

Location : Singapore

Solution Design & Architecture

• Design end-to-end solution architectures covering applications, infrastructure, cloud, security, integration, and data components
• Translate business and functional requirements into clear technical designs, architecture diagrams, and solution proposals
• Ensure solutions are scalable, secure, cost-effective, and aligned with enterprise architecture standards

Stakeholder & Pre-Sales Support

• Act as a trusted technical advisor to customers, understanding their business challenges and technology landscape
• Collaborate with sales and business teams to support solutioning, proposals, and client discussions.
• Participate in client workshops and technical discussions to understand requirements and explain proposed solutions.
• Communicate complex technical concepts clearly to business stakeholders
• Provide technical input for estimates, architecture options, and implementation approaches.

Delivery & Governance

• Provide architectural guidance throughout the delivery lifecycle, from design to implementation and handover
• Review technical designs and implementation approaches to ensure alignment with the approved architecture
• Identify technical risks, dependencies, and mitigation strategies early in the project lifecycle

Technology & Best Practices

• Stay current with industry trends, emerging technologies, and best practices (e.g. cloud, security, DevOps)
• Apply relevant frameworks and standards (e.g. TOGAF, ITIL, cloud reference architectures) where appropriate
• Ensure compliance with internal policies and applicable regulatory or security requirements

Required Qualifications & Experience

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• 6–10 years of relevant experience in solution architecture, systems design, or senior engineering roles
• Hands-on experience across multiple technology domains such as:
• Cloud platforms (e.g. AWS, Azure, GCP)
• Enterprise applications and middleware
• Infrastructure, networking, and security fundamentals
• Experience designing solutions for enterprise or government customers is an advantage
• Strong documentation skills, including architecture diagrams and solution design documents

Skills & Competencies

• Strong analytical and problem-solving skills
• Ability to balance technical depth with business considerations
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in cross-functional teams
• Good understanding of cost models, sizing, and effort estimation

www.nuwayglobal.com

About the Role

We are seeking an exceptional Senior Vice President (SVP), Chief Architect & Head of Core Development to lead the design, evolution, and delivery of the company's core technology platforms. This role will serve as the highest technical authority within the engineering organization, responsible for defining enterprise architecture, driving engineering excellence, and leading the development of mission-critical financial infrastructure that powers our payments, digital assets, treasury, card, lending, and embedded finance businesses.

The ideal candidate combines deep technical expertise with strong leadership capabilities and has successfully built and scaled high-performance financial systems in fintech, banking, payments, or digital asset environments.

Reporting directly to the CTO, this individual will oversee architecture governance, core platform engineering, technical strategy, and engineering execution across multiple product domains.

Key Responsibilities

Enterprise Architecture Leadership

• Define and maintain the company's enterprise technology architecture and technical standards.
• Establish long-term architecture roadmaps aligned with business growth, regulatory requirements, and scalability objectives.
• Lead architecture reviews and governance processes across all engineering teams.
• Drive modernization initiatives and technology transformation programs.
• Ensure platform interoperability, extensibility, resilience, and maintainability.

Core Platform Development

• Lead the design, development, and optimization of the company's core financial infrastructure, including:Payment processing platformsCross-border remittance systemsCard issuing and acquiring platformsDigital asset infrastructureTreasury and liquidity management systemsCustomer account and ledger platformsSettlement and reconciliation enginesCompliance and risk management systemsAPI and embedded finance platforms
• Ensure platforms meet enterprise-grade requirements for availability, performance, security, and scalability.
• Drive the evolution toward modular, API-first, cloud-native architecture.

Technical Leadership & Engineering Excellence

• Act as the company's principal technology expert and architecture authority.
• Provide technical leadership across engineering, product, infrastructure, security, and data teams.
• Establish engineering standards, coding frameworks, and software development best practices.
• Lead technical design reviews, architecture discussions, and solution evaluations.
• Promote a culture of engineering excellence, innovation, and continuous improvement.

Distributed Systems & Platform Scalability

• Design highly scalable distributed systems capable of supporting millions of transactions and customers.
• Optimize system performance, reliability, and operational efficiency.
• Drive adoption of:Microservices architectureEvent-driven systemsDomain-driven designCloud-native technologiesDevSecOps practicesHigh-availability and disaster recovery frameworks
• Ensure systems meet stringent SLAs and operational requirements.

Regulatory & Security Architecture

• Partner closely with Compliance, Risk, and Security teams to ensure regulatory readiness.
• Architect solutions that support:AML/CFT controlsTransaction monitoringKYC/KYB infrastructureAudit and reporting requirementsData privacy regulationsCybersecurity standards
• Ensure technology platforms are designed to support current and future licensing requirements across multiple jurisdictions.

Engineering Organization Leadership

• Lead and mentor senior engineering managers, architects, and technical leads.
• Build strong architecture and engineering leadership capabilities across the organization.
• Establish career development frameworks and technical leadership pathways.
• Drive hiring and development of top-tier engineering talent.
• Foster collaboration across product, engineering, operations, and business teams.

Innovation & Technology Strategy

• Evaluate emerging technologies and assess applicability to business objectives.
• Drive adoption of AI, automation, data platforms, and next-generation financial infrastructure.
• Lead proof-of-concept initiatives and strategic technology investments.
• Act as a trusted advisor to executive leadership on technology opportunities and risks.

Requirements

Experience

• 15+ years of software engineering and architecture experience.
• 8+ years leading large-scale engineering organizations and architecture teams.
• Proven experience designing and delivering mission-critical financial systems.
• Strong track record in fintech, banking, payments, capital markets, digital assets, or financial infrastructure organizations.
• Experience managing engineering teams across multiple countries and time zones.
• Demonstrated success leading large-scale platform modernization and transformation initiatives.

Technical Expertise

Architecture & Engineering

• Deep expertise in:Distributed systems architectureEvent-driven architecturesService-oriented and microservices platformsAPI gateway and integration architectureHigh-performance transaction systemsReal-time processing platformsMulti-tenant SaaS architecture

Cloud & Infrastructure

• Extensive experience with:AWS, Azure, or GCPKubernetes and container orchestrationCI/CD pipelinesInfrastructure-as-CodeObservability and monitoring platformsSite Reliability Engineering (SRE)

Data & Security

• Strong understanding of:Enterprise data architectureData governance and analyticsSecurity architectureEncryption and key managementIdentity and access managementRegulatory compliance frameworks

Domain Knowledge (Preferred)

Experience in one or more of the following areas:

• Cross-border payments
• Card issuing and acquiring
• Digital assets and blockchain infrastructure
• Banking core systems
• Treasury and liquidity management
• Lending platforms
• Embedded finance
• RegTech and compliance systems

Leadership Competencies

• Strategic technology vision
• Strong architectural judgment
• Exceptional problem-solving abilities
• Ability to influence executive stakeholders
• Strong communication and leadership skills
• Commercial and business-oriented mindset
• Ability to balance innovation with operational excellence

Key Performance Indicators (KPIs)

• Platform availability and reliability
• Engineering delivery velocity
• Architecture governance compliance
• Technical debt reduction
• Infrastructure scalability and performance
• Security and audit outcomes
• System cost optimization
• Engineering talent retention and development
• Successful launch of strategic platform initiatives

Reporting Structure

Reports To

Chief Technology Officer (CTO)

Direct Reports

• Principal Architects
• Engineering Directors
• Core Platform Engineering Managers
• Architecture Governance Team
• Technical Program Managers

Organization Coverage

• Enterprise Architecture
• Core Platform Engineering
• Payments Infrastructure
• Digital Asset Infrastructure
• API Platform
• Shared Services Engineering
• Engineering Excellence & Standards

Why This Role Matters

This role serves as the technical backbone of the organization, ensuring that the company's financial infrastructure remains scalable, secure, resilient, and capable of supporting future growth across multiple regulated businesses. The SVP, Chief Architect & Head of Core Development will be instrumental in shaping the next generation of our technology platform while building a world-class engineering organization capable of competing on a global stage.