Enterprise Architect (Hybrid Cloud & AI)

(Only Singaporean with MSD CAT-2 or equivalent will be considered)ABOUT THE ROLEWe 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.________________________________________KEY RESPONSIBILITIESEnterprise Architecture Leadership• 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☁️ Hybrid Cloud Architecture• 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 applicableAI & Intelligent Systems Integration• 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 processesSecurity, Compliance & Governance• 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 environmentsStakeholder Engagement & Delivery• 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________________________________________QUALIFICATIONS & EXPERIENCEEssential Requirement DetailCitizenship: 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 disciplineExperience: Minimum 8 years of professional experience in enterprise or solutions architecture rolesHybrid Cloud: Demonstrated experience designing and governing hybrid cloud architectures with AWS as primary platformAI Integration: Hands-on experience architecting AI/ML or GenAI solutions in production environmentsIaC Proficiency: Practical experience with Terraform, AWS CloudFormation, or equivalent IaC toolingArchitecture Frameworks: Working knowledge of TOGAF, AWS Well-Architected Framework, or equivalentCommunication: Exceptional ability to communicate complex architecture concepts to both technical and non-technical audiencesPreferred DetailCertifications: AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning – SpecialtyAdditional Certifications: TOGAF 9/10 Certified; CISSP or equivalent security certificationMulti-cloud: Exposure to Azure or GCP in multi-cloud design contextsPublic Sector: Prior experience with Singapore government or defence clientsDevSecOps: Familiarity with CI/CD pipeline design, DevSecOps practices, and platform engineering patternsData Architecture: Experience with enterprise data architecture including data mesh, data lakehouse, or real-time streaming patterns________________________________________TECHNICAL SKILLS PROFILECore Technical CompetenciesHYBRID CLOUD ARCHITECTURE├── 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 designAI & INTELLIGENT SYSTEMS├── 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 evaluationARCHITECTURE & GOVERNANCE├── TOGAF / Zachman ████████░░░░ Proficient├── Zero-Trust Security ████████░░░░ Proficient├── IaC (Terraform/CFN) ████████░░░░ Proficient└── Data Architecture ██████