At a Glance
- Tasks: Design and deploy cutting-edge Generative AI systems from scratch.
- Company: Join a high-growth consultancy leading the way in AI innovation.
- Benefits: Enjoy hybrid working, competitive salary, and clear career progression.
- Other info: Work in a dynamic environment with freedom to innovate and grow.
- Why this job: Be a core technical leader shaping the future of AI with real impact.
- Qualifications: 3+ years in Generative AI or applied ML, strong coding skills required.
The predicted salary is between 80000 - 100000 £ per year.
If you have the right match for this opportunity, then make sure to apply today.
Location: UK (Hybrid – 1–2 days per week onsite)
Employment Type: Permanent
Right to Work: Must already have the right to work in the UK (no sponsorship)
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 hiring.
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 You’ll 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 We’re 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 builder’s 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
Technology Lead, AI Lab in Cheltenham employer: 167 Solutions Ltd
167 Solutions is an exceptional employer, offering a dynamic work environment where innovation thrives. With a strong focus on hands-on engineering in the rapidly evolving field of Generative AI, employees enjoy the freedom to architect cutting-edge solutions without legacy constraints. The hybrid working model promotes a healthy work-life balance while providing ample opportunities for professional growth as the Centre of Excellence expands.
StudySmarter Expert Advice🤫
We think this is how you could land Technology Lead, AI Lab in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. Be ready to discuss your past experiences and how they align with the responsibilities of building and deploying AI systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you throughout the process, so let’s get you that dream job!
We think you need these skills to ace Technology Lead, AI Lab in Cheltenham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on engineering background and any relevant projects you've worked on, especially in Generative AI or applied ML systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your work with RAG architectures, Hugging Face models, or cloud-native solutions. Show us your passion for building meaningful systems!
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Mention your experience with AWS, GCP, and any relevant tools or methodologies. We want to see how you can contribute to our new Generative AI Centre of Excellence.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on the chance to join our team!
How to prepare for a job interview at 167 Solutions Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around Generative AI, RAG architectures, and Hugging Face models. Brush up on your coding skills and be ready to discuss your hands-on experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex engineering challenges in the past. Think about times when you’ve built or deployed AI systems and be ready to explain your thought process and the impact of your solutions.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects and challenges. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
✨Demonstrate a Consulting Mindset
Since this role involves working closely with clients, highlight your ability to translate technical concepts into business solutions. Share experiences where you’ve successfully communicated with stakeholders while maintaining a technical focus.
