Total 30 solution architect job vacancies in Singapore

As a Software Engineer, you are required to write computer codes - utilizing industry standard software development and design methodologies appropriate to the functional design. You are also required to study existing codes, improve and refactor when possible, and participate in troubleshooting exercises.

Teamwork

• Collaborate with team members including business analysts, graphic designers and other members of a project team to develop the software concept, interface design, and architecture of the software application and ultimately translate the design into codes.
• Regularly update team members on progress and time estimations to ensure smooth operations and accurate planning.
• As a responsible and active team member, you are always open to share and receive ideas, information and feedback to achieve your common goal.

Testing

• To review and test software components for adherence to the design requirements and expected system behaviour.
• The rapid growth of our customer base has pushed our team to release version updates faster than ever. To keep up with the pace, you are encouraged to embrace and implement test automation to deliver your codes with speed and quality.

Research

• Research solutions to code and performance issues.
• Study program specifications to gain deeper understanding of performance expectations and coding requirements.
• Strive to propose/experiment on technologies, methodologies, tools and components that can make the products more robust, resilient and perform beyond expectation.

Personal Development

• To continuously participate in industry events, read and potentially contribute to relevant publications to advance your professional skills and career
• You are also encouraged to pursue educational opportunities in related field while under employment.

Job Requirements

• A Bachelor’s degree in Computer Science or related field. Experience can make up for the lack of a degree.
• Creative problem-solving abilities and strong work ethic with can do attitude.
• Ability to take high-level requirements and compile them into development tasks.
• Ability to thrive in a team/collaborative environment.
• Ability to function at a fast pace with multiple deadlines.

Perks & Benefits

• Nearby public transport
• Casual dress code
• Free snacks / Happy hours
• Regular team activities
• Medical insurance
• Personal development opportunities
• Remote work flexibility

The VOIP Engineer will assist in the design, implementation, and maintenance of Voice over Internet Protocol (VOIP) systems and networks. Will work closely with senior engineers to support VOIP infrastructure and ensure its reliability and performance. This role involves troubleshooting, configuring, and optimizing VOIP systems to meet business requirements. VOIP Engineer will also provide technical support to end-users and collaborate with cross-functional teams to deploy new VOIP solutions.

Key Responsibilities

• Assist in the deployment and maintenance of VOIP systems and networks.
• Configure VOIP hardware and software components, including phones, gateways, routers, and switches.
• Monitor VOIP network performance and troubleshoot issues to ensure optimal functionality.
• Provide technical support to end-users for VOIP-related problems and inquiries.
• Assist in the integration of VOIP systems with other communication technologies.

Operational Management

• Configure PBX server with Asterisk, ensuring smooth operation and optimal performance of VOIP systems.
• Utilize expertise in PBX to streamline operations and enhance functionality.
• Apply in-depth knowledge of Asterisk to troubleshoot and resolve issues promptly, minimizing downtime.
• Ensure network connectivity of all servers, workstations, telephony equipment, and other network appliances.
• Configure IP phones, GSM gateways, and PRI gateways to integrate seamlessly with VOIP infrastructure, enabling efficient communication.
• Implement procedures for backup and disaster recovery of VOIP systems, safeguarding against data loss and ensuring business continuity.
• Develop and maintain comprehensive documentation for VOIP configurations, procedures, and troubleshooting steps, facilitating knowledge transfer and training.

Perks & Benefits

• Nearby public transport
• Casual dress code
• Free snacks / Happy hours
• Regular team activities
• Medical insurance
• Personal development opportunities

We are looking for an analytical, Collection and Recovery operationally experienced Strategy Specialist to bridge the gap between our debt collection platform and our clients’ day-to-day collection operations.

This role combines functional consulting, collections operations advisory, workflow optimization, and client engagement. The successful candidate will become a subject matter expert in our platform, understanding its features, workflow configuration, automation capabilities, and operational logic in depth.

You will work closely with clients onsite to observe how collection teams utilize the system in real operational environments, identify inefficiencies or process gaps, and recommend data-driven collection strategies and workflow improvements that enhance recovery performance, operational productivity, and user adoption. This role is ideal for candidates with strong exposure to collections operations, banking recovery, debt collection strategy, or functional consulting within enterprise software environments.

Key Responsibilities

Product & Functional Expertise

• Undergo intensive internal training to master our own debt collection platform, including workflow configurations, business rules, automation logic, segmentation strategies, and operational features
• Develop a strong understanding of how system configurations and workflow designs impact operational efficiency and recovery performance
• Serve as a functional subject matter expert (SME) for internal teams and customers during implementation, optimization, and post-go-live support phases

Client Operations Advisory

• Observe and understand client’s end to end collection operations, user behavior, collection workflows, and management practices in real-world environments
• Evaluate operational inefficiencies, manual workarounds, underutilized features, bottlenecks, and process gaps that affect recovery effectiveness
• Analyze collection performance trends, operational behaviors, and workflow effectiveness using data-driven approaches
• Recommend practical workflow improvements, automation enhancements, segmentation strategies, and operational optimization initiatives to improve collection outcomes

Client Engagement & Consulting

• Conduct workshops, discussions, and presentations with operational users, collection managers, and business stakeholders
• Translate business requirements and operational pain points into effective system configurations and workflow recommendations
• Build trusted relationships with customer stakeholders by acting as a strategic advisor throughout implementation and optimization engagements
• Support user adoption and change management initiatives by helping customers maximize system utilization and operational value

Requirements

• Bachelor’s degree in Business Analytics, Data Analytics, Finance, Banking, or a related discipline
• Mandatory minimum 3 to 5 years of experience within debt collection operations, collections strategy, banking recovery, or as a functional analyst/consultant for accounts receivable software
• Proven track record of learning complex enterprise software platforms quickly and understanding how technical configurations translate into business results
• Strong capability to observe daily operational practices, identify inefficiencies or software workarounds, and formulate data-driven optimization strategies
• Commercially minded with the confidence to build relationships with client stakeholders, present optimization recommendations, and effectively position software upgrades or add-on modules that address operational pain points
• Excellent verbal and written communication skills, with the ability to confidently engage and present ideas to both frontline collection managers and executive decision-makers
• Willingness to travel and spend dedicated time working onsite at customer locations during observation, implementation, and optimization stages

Perks & Benefits

• Nearby public transport
• Casual dress code
• Free snacks / Happy hours
• Regular team activities
• Medical insurance
• Personal development opportunities

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

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

Responsibilities

• Participate in project implementation to ensure projects are delivered on time and compliant to security requirements.
• Develop security documentations such as technical presentation slide, Design document, System Security Acceptance Test documents.
• Review current security controls and recommend enhancements.
• Keep abreast of latest cybersecurity trends and introduce solutions to customers that address the everchanging threat landscape.

The ideal candidate should possess

• Diploma/Bachelor degree in Computer Information Security or related field.
• Security certifications (i.e. CISSP, etc) will be an advantage.
• Cloud certifications with at least one cloud provider.
• Minimum 2 - 3 years of working experience in one of the security domains.Security and Risk Management
• Asset Security
• Security Architecture and Engineering
• Communications and Network Security
• Identity and Access Management,
• Security Assessment and Testing
• Software Development Security
• Working experience in either AWS, Azure or Google Cloud Platform will be preferred. Experience with other cloud platforms will also be considered.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Some understanding of cloud or system security will be preferred.
• Some understanding of software development and infrastructure operations solutions will be preferred.
• Strong analytical and design thinking skills
• Able to work under pressure and to lead a team to deliver

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies . You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Reg. R23118506, Goh Li Min

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.

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

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

Responsibilities:

• Solutions delivered on time and on budget.
• Perform maintenance on time.
• Provide timely and satisfactory issues resolutions.
• Conduct training, presentation to internal and external customers.
• Manage internal and external customers.

During Solutions Delivery Phase:

• At site survey to ensure infra and network is in accordance to solutions requirements.
• Install, Configure solutions at sites.
• Manage User Acceptance testing at sites.
• Conduct User training at sites.
• Document handover items for customers at sites.

During Maintenance Phase:

• Ensure all delivered solutions are in operation.
• At site or remote to support and troubleshoot issues related to the delivered solutions.
• At site to perform solutions preventative action, monthly patching or upgrade.
• At site testing and delivery of Samsung devices.
• Work closely with the HQ Technical Support & R&D for critical issues escalation and VOC compilation.

Requirement:

• Diploma or Degree in Computer Science or Information System related fields
• Server and/or cloud certificate is highly preferred.
• At least 2 years of experience in network administration, QA testing, software installation and maintenance.
• Knowledge in the use of VM software and system OS (Windows Server, JAVA, Apache Tomcat, Redhat, Ubuntu, etc.).
• Knowledge in the configuration management such as AD, CA, DNS etc.
• Knowledge in the use of database: MSSQL, MYSQL etc.
• Knowledge on Cloud (i.e., AWS, Azure, or similar) and on-premises infrastructure deployment.
• Excellent problem solving, and analytical thinking.
• Good at documentation (specification, user guide creation)
• Excellent communication skills; able to present technical topics to non technical audience.
• Self Starter, positive attitude and customer oriented.
• Must be a Singaporean
• Subject to government G50 clearance (compulsory)

Preferred Qualification:

• Knowledge in MDM related solutions and technology (such as Samsung Knox, Android Enterprise, VMWare Workspace ONE, MobileIron, Citrix Endpoint Management, Microsoft Intune, and etc) are a plus.
• Programing and software development skill in Java, XML, HTML, Android development are a plus.
• Project Management experience and/or certificate.
• Experience in designing cloud system environment, able to manage cloud resource with automation.
• Ability to take up a new technology and perform development based on client requirements.

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)

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.