At a Glance
- Tasks: Design and deploy cutting-edge Generative AI systems from scratch.
- Company: Join a high-growth consultancy focused on innovative AI solutions.
- Benefits: Enjoy hybrid working, competitive salary, and clear career progression.
- Other info: Work in a dynamic environment with significant investment in your growth.
- Why this job: Be a core technical leader in a greenfield AI practice with real impact.
- Qualifications: 3+ years in Generative AI or applied ML with strong coding skills.
The predicted salary is between 70000 - 90000 £ per year.
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.
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 London 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 benefit from significant investment in their professional growth and the opportunity to shape cutting-edge technology solutions. The hybrid working model promotes a healthy work-life balance while fostering collaboration, making it an ideal place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Technology Lead, AI Lab in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 167 Solutions Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 167 Solutions Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 167 Solutions Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 167 Solutions Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Technology Lead, AI Lab in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 167 Solutions Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 167 Solutions Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 167 Solutions Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 167 Solutions Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
