Senior Full-Stack AI Platform Engineer

activate interactive pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Outpatient medical coverage

Life and health insurance

Flexi benefits and allowances

Wellness initiatives

Job summary

Activate Interactive Pte Ltd in Singapore seeks an experienced AI Platform Engineer to design, build, and operate a centralized AI foundation platform. You will manage Bedrock-based services, develop full-stack components, and ensure scalable, secure AI deployments across divisions.

You’ll collaborate with DevSecOps, Solution Architects and product teams to deliver end-to-end AI solutions with strong governance.

Qualifications

• Degree or Diploma in Computer Science, Computer Engineering, Information Technology or related disciplines
• At least 5 years of relevant experience in full stack development, cloud or AI platform engineering
• At least 2 years of practical experience with AI/ML or generative AI technologies
• Hands-on experience with AWS services, including Amazon Bedrock, SageMaker, Lambda, API Gateway, S3, OpenSearch, IAM, VPC, CloudWatch and KMS
• Strong programming skills in Python and JavaScript/TypeScript, with RESTful APIs and frontends such as React/Angular
• Experience building RAG pipelines, embeddings and vector databases, and integrating LLM APIs/SDKs with enterprise systems
• Proficiency in Infrastructure-as-Code tools such as Terraform, AWS CDK or CloudFormation
• Experience with CI/CD pipelines and DevOps toolchains (GitLab, JIRA, BitBucket, Confluence)
• Knowledge of Docker and Kubernetes
• Understanding of cloud security, IAM and data protection controls
• Ability to troubleshoot complex issues across system resources and app stacks
• Comfortable with Agile methodologies and working with product teams
• Hands-on experience building agentic AI systems (tool calling, multi-agent orchestration) with Bedrock Agents or similar
• Knowledge of IM8 Government ICT/SS management policies, SSP requirements and observability practices
• Experience with Government Cloud (GCC) and government security requirements
• AWS certifications such as Solutions Architect, ML Specialty or Generative AI Developer
• Experience with LLM orchestration frameworks like LangChain, LlamaIndex or Bedrock Agents
• Experience implementing AI solutions in the public sector or regulated environments

Responsibilities

• Build, manage and monitor the centralised AI Foundation Platform (Amazon Bedrock) for multi-modal data extraction, understanding and generation
• Maintain AI infrastructure including model access, provisioning, quotas, API integrations and service configurations
• Design and develop full-stack platform services (backend APIs, middleware and admin/self-service portals) for consistent AI capabilities
• Integrate the AI platform with enterprise data sources and applications (RAG, knowledge bases, vector stores)
• Support model customisation (fine-tuning, prompt management, knowledge bases) and contribute to the MinLaw domain ontology
• Optimise platform performance, latency, throughput and cost; ensure scalability, availability and reliability of AI services
• Monitor Bedrock consumption and costs against budget; propose optimisation measures
• Design secure AI infrastructure aligned with Enterprise Architecture and security policies (IAM, encryption, secrets)
• Develop Infrastructure-as-Code and CI/CD pipelines for provisioning and deployment
• Build reusable platform components leveraged across divisions
• Deploy and manage monitoring tools for AI service performance and health
• Troubleshoot platform issues across infra and app layers; participate in on-call escalations
• Collaborate with DevSecOps Engineers, Solution Architects and teams to deliver end-to-end solutions
• Review source code as part of SDLC; produce technical documentation and runbooks
• Prepare architecture/security submissions for ARB and security reviews of AI platform changes
• Set up and operate agentic AI infrastructure (Bedrock Agents/AgentCore), tool gateways, agent memory and environments
• Build shared agentic AI modules (agents, tools, connectors) consumed by CAMP case-management apps
• Provide agents with identity and least-privilege access; manage secrets and tool registry
• Set usage limits for agents (tokens, rate, spend) and implement guardrails with the AI MLOps Engineer
• Instrument agents and platforms with tracing, metrics and logs; define SLIs/SLOs and alerts
• Onboard additional case management workflows to the agentic AI platform with guides and implementations
• Provide technical inputs for SSP/IM8 compliance and guardrails for AI infrastructure

Job description

Activate Interactive Pte Ltd in Singapore seeks an experienced AI Platform Engineer to design, build, and operate a centralized AI foundation platform. You will manage Bedrock-based services, develop full-stack components, and ensure scalable, secure AI deployments across divisions.

You’ll collaborate with DevSecOps, Solution Architects and product teams to deliver end-to-end AI solutions with strong governance.