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

Your Opportunity

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 at scale. Our 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.

What Youll DoArchitect Agentic & GenAI Systems

• Design, build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex.

• 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 GitHub 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.

This Role RequiresDeep 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 important in digital health contexts.

Consulting & Autonomy

• Ability to work independently, manage ambiguity, and context-switch across multiple client problems.

• Comfortable balancing rapid prototyping with the discipline required for long-term, production-ready systems.

Academic Foundation

• Bachelors or Masters degree in Computer Science, Machine Learning, Engineering, or a closely related discipline.

Bonus Points

• Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker.

• Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow, or Apache Beam.

• Background in front-end or mobile development, enabling end-to-end solution thinking.

• Prior experience in healthcare, life sciences, or regulated industries.

Whats On Offer

• Competitive salary of £90,000£130,000, depending on experience.

• Hybrid working with flexibility aligned to project and client needs.

• Exposure to cutting-edge AI problems across multiple global organisations.

• Clear technical progression without being forced into people management.

• A culture that genuinely values engineering excellence, autonomy, and impact.

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