AI Engineering Lead

3 Days Old

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 Do Architect 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 Requires 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 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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Location:
Bath
Salary:
£100,000
Job Type:
FullTime
Category:
IT

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