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This role is a Manager position within the Assurance Line of Service, specializing in Risk Management. The successful candidate will lead technical solutioning in client pre-sales and discovery across all sectors, translating business problems into advanced AI architectures such as RAG pipelines, agentic workflows, SDLC automation, data platforms, and model risk frameworks. Key responsibilities include owning technical sections of client proposals, building reusable accelerators, leading AI pilot engagements, staying current with the AI tooling landscape (especially Anthropic/Claude ecosystem), and advising on AI governance and responsible AI design, particularly for clients subject to MAS regulatory scrutiny on model risk, explainability, and audit trails. This is a critical role for driving Artificial Intelligence adoption and innovation within enterprise environments.
Eligibility / Qualification Required:
- Experience: 5-14 years of enterprise technology experience, with a minimum of 2 years in production AI delivery.
- Must-Have Skills:
- Python proficiency: LLM integration, API development, data engineering, and automation scripting.
- Cloud AI platforms: Azure OpenAI Service, AWS Bedrock, or GCP Vertex AI (at least one in depth).
- LLM orchestration: LangChain, LlamaIndex, or equivalent; multi-agent frameworks (CrewAI, AutoGen, or similar).
- Vector databases: Pinecone, Weaviate, Chroma, pgvector, or equivalent.
- Containerisation and CI/CD: Docker, basic Kubernetes, GitHub Actions.
- Anthropic / Claude Ecosystem — Strongly Preferred: Given the practice's primary AI platform orientation, depth in the Anthropic/Claude ecosystem is a material differentiator. Candidates with hands-on production experience across multiple Claude capabilities will be prioritised.
- Claude API: tool use, computer use, vision, and document processing in production applications.
- Claude Code: agentic coding workflows, CLI integration, MCP server configuration, and multi-agent software development pipelines.
- Claude claude.ai and Projects: enterprise deployment patterns, system prompt design, memory and context management.
- Anthropic prompt engineering: chain-of-thought elicitation, XML-structured outputs, multi-turn conversation design, and retrieval-augmented prompting.
- Claude model family knowledge: Opus, Sonnet, Haiku trade-offs for latency, cost, and capability in production architectures.
- MCP (Model Context Protocol): server implementation, tool registration, and integration with enterprise data sources (Google Drive, Gmail, Slack, CRMs).
- Anthropic API batch processing, streaming, and rate limit management for enterprise-scale deployments.
- AI safety and responsible AI design aligned with Anthropic's principles.
- Broader AI Tooling — Preferred:
- Local LLM deployment: Ollama, Qwen, Mistral, Llama on Apple Silicon or equivalent edge hardware for air-gapped or data-sovereign deployments.
- GitHub Copilot, Cursor, or equivalent AI-assisted development environments: production use in SDLC automation contexts.
- Open-source agent frameworks: LangGraph, AutoGen, CrewAI, or equivalent for multi-agent orchestration.
- SDLC and DevTest automation: AI-assisted test generation, code review pipelines, and CI/CD integration.
- Security and compliance design: data residency, air-gapped deployment patterns, PDPA and MAS regulatory considerations for Singapore deployments.
- Front-end familiarity: React or equivalent for building lightweight internal tools and executive dashboards.
- Education: Degrees/Field of Study required: Not specified. Degrees/Field of Study preferred: Not specified.
- Certifications: Not specified.
- Required Skills: Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, and 30 additional skills.
- Optional Skills: Not explicitly specified.
- Desired Languages: Not specified.
- Travel Requirements: Not Specified.
- Available for Work Visa Sponsorship? Yes.
- Government Clearance Required? No.
General Conditions:
No general conditions regarding TA/DA, HEC recognition, or original document submission are specified in the provided job description.
How to Apply:
The method for application (e.g., email, online submission, or postal address) is not specified in the provided job description.
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