Enterprise Architect (Hybrid Cloud & AI)
UC TECH PTE. LTD.
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Job summary
UC Tech Pte. Ltd. in Singapore seeks a seasoned Enterprise Architect to lead hybrid cloud initiatives and embed AI capabilities across enterprise platforms, including government and regulated clients.
You will drive architecture from concept to delivery, applying TOGAF and security standards while mentoring junior architects in a fast-paced, security-conscious environment.
Qualifications
- Citizenship: Singapore Citizen (mandatory).
- Security Clearance: Must be eligible for Singapore government security clearance (MSD CAT 2 or equivalent).
- Education: Bachelor's degree in Computer Science, IT, Engineering, or a relevant discipline.
- Experience: Minimum 8 years in enterprise or solutions architecture roles.
- Hybrid Cloud: Design and govern hybrid cloud architectures with AWS as primary platform.
- AI Integration: Hands-on architecture of AI/ML or GenAI in production.
- IaC Proficiency: Terraform, AWS CloudFormation, or equivalent tooling.
- Architecture Frameworks: TOGAF, AWS Well-Architected Framework, or equivalent.
- Communication: Exceptional ability to communicate complex concepts to diverse audiences.
Responsibilities
- Lead enterprise architecture governance, roadmaps, and design authority forums.
- Translate business requirements into architecture blueprints across apps, data, infra, and security.
- Drive cloud strategy with AWS as primary, and multi-cloud awareness (Azure/GCP).
- Define IaC standards and ensure secure, scalable cloud-native patterns.
- Embed AI capabilities: data pipelines, MLOps, LLMs, and responsible AI practices.
- Mentor junior architects and support pre-sales with architectural solutions.
Skills
Education
Tools
Job description
(Only Singaporean with MSD CAT-2 or equivalent will be considered)
We are seeking a seasoned Enterprise Architect with deep expertise in hybrid cloud architecture and a proven ability to leverage Artificial Intelligence to drive business and technology transformation. This is a strategic yet hands-on role where you will serve as the primary technical authority for complex, large-scale architecture engagements — bridging business objectives with scalable, secure, and future-ready technology solutions.
You will work across multi-cloud and on-premises environments, leading architecture design from concept through to delivery, while embedding AI-driven capabilities into enterprise platforms. A significant portion of our engagements involves government and regulated-industry clients, so comfort operating within secure, compliance-driven, and at times air-gapped environments is essential.
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- Define and govern enterprise architecture frameworks, standards, and roadmaps aligned to organizational strategy and technology vision
- Lead architecture reviews, design authority forums, and technical governance boards across programmes and platforms
- Translate complex business requirements into coherent, implementable architecture blueprints covering application, data, infrastructure, and security domains
- Drive architectural decision-making using structured frameworks such as TOGAF, Zachman, or equivalent
- Serve as trusted technical advisor to C-suite, senior stakeholders, and client leadership, articulating architecture trade-offs and strategic options clearly
- Architect and govern hybrid cloud solutions spanning on-premises data centres and multiple cloud providers, with AWS as the primary cloud platform
- Design secure, scalable, and resilient cloud-native and cloud-hybrid architectures incorporating microservices, containerisation (Kubernetes, Docker), and serverless patterns
- Lead cloud migration strategy and execution — including lift-and-shift, re-platforming, and re-architecting workloads — with clear governance over cost, performance, and security
- Define and enforce infrastructure-as-code (IaC) standards using tools such as Terraform, AWS CloudFormation, or equivalent
- Architect multi-account AWS environments using AWS Landing Zone, Control Tower, and Well-Architected Framework best practices
- Evaluate and integrate complementary cloud platforms (Azure, GCP) where multi-cloud strategies are required
- Ensure architecture compliance with relevant cloud security frameworks including CSA CCM, MAS TRM, IM8, and GCC where applicable
- Lead the architecture and integration of AI and machine learning capabilities into enterprise platforms and workflows
- Design end-to-end AI solution architectures including data ingestion pipelines, model training and serving infrastructure, RAG (Retrieval-Augmented Generation) systems, and agentic AI workflows
- Architect LLMOps and MLOps platforms for model lifecycle management, monitoring, retraining, and governance including drift detection and hallucination mitigation
- Define AI infrastructure patterns for both cloud-native deployments (AWS SageMaker, AWS Bedrock) and constrained or air-gapped environments where standard cloud tooling is unavailable
- Evaluate and recommend AI orchestration frameworks (LangChain, LlamaIndex, or equivalent) and embedding/vector store technologies for enterprise-scale deployments
- Embed responsible AI principles — fairness, explainability, security, and auditability — into architecture standards and design patterns
- Identify and champion opportunities where AI can generate measurable business value across client operations, replacing or augmenting manual processes
- Architect zero-trust security models and enforce least-privilege access controls across hybrid cloud and AI platforms
- Define data governance frameworks including data classification, lineage, residency, and privacy controls aligned to regulatory requirements
- Lead security architecture reviews and threat modelling for cloud and AI systems
- Ensure architecture deliverables comply with Singapore government security and compliance standards where applicable (IM8, GCC, DSS, or equivalent)
- Support eligibility for and operation within security-cleared and restricted environments
- Lead client-facing technical workshops, architecture inductions, and onboarding programmes for enterprise and government tenants
- Collaborate with engineering, data, platform, and product teams to ensure architecture intent is faithfully implemented
- Contribute to pre-sales activities including proposals, solutioning, RFP responses, and client presentations
- Mentor and develop junior architects and engineers, fostering a culture of technical excellence and continuous learning
- Produce high-quality architecture artefacts including reference architectures, solution design documents, ADRs (Architecture Decision Records), and roadmaps
________________________________________
- Citizenship: Singapore Citizen (mandatory)
- Security Clearance: Must be eligible for Singapore government security clearance (MSD CAT 2 or equivalent)
- Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a relevant discipline
- Experience: Minimum 8 years of professional experience in enterprise or solutions architecture roles
- Hybrid Cloud: Demonstrated experience designing and governing hybrid cloud architectures with AWS as primary platform
- AI Integration: Hands-on experience architecting AI/ML or GenAI solutions in production environments
- IaC Proficiency: Practical experience with Terraform, AWS CloudFormation, or equivalent IaC tooling
- Architecture Frameworks: Working knowledge of TOGAF, AWS Well-Architected Framework, or equivalent
- Communication: Exceptional ability to communicate complex architecture concepts to both technical and non-technical audiences
- Certifications: AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning – Specialty
- Additional Certifications: TOGAF 9/10 Certified; CISSP or equivalent security certification
- Multi-cloud: Exposure to Azure or GCP in multi-cloud design contexts
- Public Sector: Prior experience with Singapore government or defence clients
- DevSecOps: Familiarity with CI/CD pipeline design, DevSecOps practices, and platform engineering patterns
- Data Architecture: Experience with enterprise data architecture including data mesh, data lakehouse, or real-time streaming patterns
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├── AWS (Primary) ████████████ Expert
│ ├── Compute, Networking, Storage, Security
│ ├── SageMaker, Bedrock, Lambda, EKS, ECS
│ ├── Landing Zone, Control Tower, Transit Gateway
│ └── Well-Architected Framework
├── Multi-Cloud Strategy ████████░░░░ Proficient
│ ├── Azure Arc / GCP Anthos (hybrid integration)
│ └── Cloud-agnostic architecture patterns
└── On-Premises Integration ████████░░░░ Proficient
├── VMware, bare-metal, edge environments
└── Air-gapped and restricted network design
├── GenAI Architecture ████████░░░░ Proficient
│ ├── RAG pipeline design
│ ├── LLM integration (Bedrock, open-source LLMs)
│ └── Agentic workflow architecture
├── MLOps / LLMOps ███████░░░░░ Proficient
│ ├── SageMaker pipelines
│ ├── Model monitoring & governance
│ └── Vector store & embedding infrastructure
└── Traditional ML ██████░░░░░░ Working Knowledge
├── Classification, regression, forecasting
└── Feature engineering & model evaluation
├── TOGAF / Zachman ████████░░░░ Proficient
├── Zero-Trust Security ████████░░░░ Proficient
├── IaC (Terraform/CFN) ████████░░░░ Proficient
└── Data Architecture ██████
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