AI Engineering Lead

Lead AI Engineer (Digital Health)

Job Title:

Lead AI Engineer (Digital Health)

Openings: 3 roles

Location:

United Kingdom (Hybrid working)

Salary: 90,000 £ 130,000 + benefits

Employment Type:

Permanent

Working Pattern:
Hybrid, with flexibility based on client engagement

Why limit your impact to a single product when you could help shape the future of an entire industry? 167 Solutions are recruiting on behalf a large healthcare consultancy, partnering with some of the worlds most ambitious life sciences, biotech, and healthcare organisations to solve complex, data-driven challenges  work directly contributes to improving patient outcomes, accelerating research, and enabling smarter, more efficient healthcare systems.

We are proud to be a Great Place to Work certified organisation for three consecutive years, offering an environment built on trust, autonomy, and technical excellence.

This is a senior individual contributor leadership role, ideal for engineers who want to remain hands‑on while operating at architectural and strategic depth. You will act as the technical authority behind next‑generation Generative AI and Agentic systems, working across multiple client programmes rather than being tied to a single product or domain.

You will have the freedom to shape standards, influence best practices, and take ideas from research and experimentation through to secure, production‑grade solutions that genuinely make a difference to peoples lives.

If you thrive on variety, complex problem‑solving, and high‑impact delivery, this role is designed for you.

• Architect Agentic & GenAI Systems
• Design, build, and optimise production‑grade Generative AI applications using frameworks such as Lang Chain, Lang Graph, and Llama Index.
• Integrate with leading LLMs including GPT, Claude, Gemini, as well as self-hosted and fine‑tuned models where required.
• Define patterns for agent orchestration, memory, evaluation, and observability.
• Pioneer RAG & Multi‑Modal Solutions:
  Implement advanced Retrieval‑Augmented Generation (RAG) pipelines using vector databases such as Pinecone and Weaviate.
• Build multi‑modal workflows spanning text, voice, and video, with a strong focus on accuracy, explainability, and performance.
• Design data ingestion and enrichment pipelines that meet healthcare‑grade quality and compliance expectations.
• Drive Engineering Excellence:
  Build scalable microservices and platforms using Python and/or JavaScript, following TDD, Clean Architecture, and SOLID principles.
• Ensure systems are resilient, observable, secure, and designed for long‑term maintainability.
• Contribute to architectural decisions across multiple client engagements.
• Innovate with AI‑Assisted Engineering:
  Use AI‑assisted development tools such as Claude Code, Cursor, and Git Hub Copilot in a structured, disciplined way.
• Balance accelerated delivery with robust code quality, documentation, and test coverage.
• Help define internal best practices for responsible and effective AI‑assisted development.
• Consult, Mentor & Influence:
  Lead proof‑of‑concept initiatives, internal research spikes, and feasibility studies for emerging AI capabilities.
• Act as a trusted technical advisor to clients, translating complex AI concepts into practical, scalable solutions.
• Provide mentorship and technical guidance to other engineers, raising the overall engineering bar.

• Deep AI & Engineering Expertise
  : 3+ years of hands‑on experience in AI / ML or Generative AI engineering, with a broader 712 years in professional software development. Strong understanding of model behaviour, limitations, evaluation techniques, and real‑world deployment challenges.
• Cloud‑Native & Platform Skills
  :
  Proven experience designing and deploying distributed systems on AWS, GCP, or Azure. Hands‑on expertise with Docker, Kubernetes, and modern CI/CD pipelines. Comfortable working in regulated or high‑compliance environments.
• Strong Engineering Mindset
  : A relentless focus on clean code, scalability, performance, and security. You favour structured, well‑architected solutions over quick hacks or vibe coding. A security‑first and privacy‑aware approach, particularly…