Lead / Senior Generative AI Engineer / AI Engineer / Artificial Intelligence / Generative AI / AWS / GCP / Engineering Mindset / London / Bristol / Manchester/ Birmingham / Cardiff / Cambridge / Oxford / England Hiring via: 167 Solutions
Location: UK (Hybrid 12 days per week onsite)
Start Date: February (Interviews available immediately)
Employment Type: Permanent
Right to Work: Must already have the right to work in the UK (no sponsorship)
The Role 167 Solutions is partnering with a high-growth consultancy making a significant multi-year investment into Generative AI. This hire is critical. You will be one of the core technical leaders, responsible for hands-on delivery from day one, while also helping shape a new Generative AI Centre of Excellence (CoE) .
This is not a strategy-only or advisory role.
This is a 24/7 hands-on engineering role, building, testing, deploying, and iterating production-grade GenAI systems at enterprise scale.
Everything is greenfield. No legacy constraints. No pre-selected vendors. You will help define the technical direction, tooling, and engineering standards while actively writing code and shipping solutions.
What Youll Be Doing (Hands-On) Design, build, and deploy Generative AI systems end to end from use-case discovery through to production
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and enterprise data sources
Develop agent-based workflows, orchestration layers, and multi-step reasoning systems
Work extensively with open-source and commercial LLM ecosystems, including Hugging Face models and tooling
Implement prompt engineering, evaluation frameworks, and performance optimisation strategies
Architect secure, scalable GenAI solutions on AWS and GCP
Build APIs, services, and pipelines to integrate GenAI into real business workflows
Apply LLMOps / MLOps practices : versioning, monitoring, cost control, bias, and drift management
Work directly with clients to translate business problems into deployable AI solutions, not slide decks
Contribute to building internal IP, accelerators, and reusable frameworks as the CoE scales
What Were Looking For Minimum 3 years experience building and deploying Generative AI or applied ML systems
Strong hands-on engineering background you actively code, build, test, and deploy
Experience with:
RAG architectures and vector databases
Hugging Face models, pipelines, and inference tooling
Prompt engineering and LLM evaluation techniques
Agentic systems and orchestration patterns
Cloud-native experience across AWS and/or GCP
Comfortable working across multiple business functions (finance, ops, customer, HR, tech, data)
Platform-agnostic mindset focused on methodology, workflow, and outcomes, not vendor lock-in
Consulting mindset: able to engage stakeholders while staying deeply technical
Experience operating at Senior / Lead / Manager level, or as the go-to GenAI engineer on projects
Why This Opportunity Stands Out Hands-on by design this is a builders role, not a steering committee role
Greenfield GenAI practice with genuine freedom to architect properly
Heavy investment committed over the next 2 years
Enterprise-scale builds with real users, real data, and real impact
Clear progression as the CoE grows in size and capability
Hybrid working that balances autonomy with collaboration
About 167 Solutions 167 Solutions is a UK-based specialist technology recruitment and consultancy partner. We work closely with high-growth consultancies and enterprise clients to identify engineers who want to build meaningful systems, not just maintain them.
We are hiring on behalf of our client and managing the process end to end.
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