A fast-growing regional health-tech business is looking for a senior data scientist/ AI NLP Engineer to be the go-to expert on Generative AI, agentic systems and healthcare AI. You’ll set the technical direction for how AI gets built, tested and governed across the company’s products and markets. You’ll also stay close enough to the work to review architecture and solve hard problems yourself.
Key Responsibilities
- Turn fuzzy healthcare and business problems into AI solutions with clear success metrics and a delivery path.
- Own the roadmap and reference architectures for NLP, GenAI, RAG, multimodal and agentic AI. You’ll be the senior voice on trade-offs across model choice, fine-tuning, retrieval, orchestration, latency, cost and security.
- Run technical due diligence on foundation models, embedding models, vector stores, orchestration frameworks and vendors, including build-vs-buy and model-risk calls.
- Design production AI systems where LLMs, RAG and agents are part of the live product, not just internal tools. That includes agent planning, memory, permissions, observability, fallbacks and human-in-the-loop controls.
- Build reusable AI platforms, evaluation harnesses, guardrails and LLMOps capability with engineering, cybersecurity, risk and product partners.
- Set up evaluation and governance standards covering quality, groundedness, hallucination, bias, privacy, robustness and auditability, with healthcare compliance and explainability built in.
- Lead responsible adoption of AI coding assistants and analytical copilots, including usage guidelines, quality controls and ways to measure the value.
- Brief senior leadership on evidence, trade-offs and risk, and grow the team through mentoring, training and external thought leadership.
What We’re Looking For
- 8–10+ years building end-to-end ML/AI solutions, with 5+ years in NLP, deep learning and transformers.
- 3+ years building GenAI solutions end to end (LLM workflows, fine-tuning, evaluation, RAG).
- Strong SQL, Python, PySpark, PyTorch, LangGraph, Databricks, MLflow, Azure AI services and LLM APIs.
- A track record of deploying and monitoring production AI at scale, with working knowledge of GenAI observability, tracing and LLM evaluation.
- Solid grounding in responsible AI: fairness, bias, explainability, safety and privacy.
- Strong stakeholder influence, including with executives, and comfort working in a matrix organisation.
- Nice to have: 3+ years leading or mentoring data science teams; a degree in CS or a related field; healthcare experience (clinical AI, payer/provider analytics, claims, population health); MLOps and CI/CD for ML; exposure to knowledge graphs, multimodal AI or clinical decision support.
What’s on Offer
- Real technical ownership and influence on AI strategy at a regional scale.
- Work on high-impact healthcare problems with proprietary, large-scale data.
- A senior role with room to build a team, a community and a public reputation in healthcare AI.
- An inclusive, mission-driven culture.
ST
Reg No. R1768414
BeathChapman Pte Ltd
Licence no. 16S8112
