At a Glance
- Tasks: Lead the design and build of innovative Multi-Agent Systems while mentoring a talented team.
- Company: Join a top-tier AWS Premier Partner with a focus on AI and DevOps.
- Benefits: Competitive salary, flexible hours, and the chance to shape the future of AI.
- Other info: Remote-first culture with opportunities for significant career growth.
- Why this job: Tackle challenging client problems and make a real impact in the AI space.
- Qualifications: 7+ years in engineering with strong hands-on AI experience and team leadership skills.
The predicted salary is between 115000 - 115000 € per year.
Remote (UK-based) | ~£115,000 | Flexible hours
About the Company
My client is a specialist services firm working across DevOps, Data, and AI and one of only a handful of AWS Premier Partners (the top ~4% of all AWS partners). They started life as a DevOps business, grew into Data and AI, and are now around 80 people globally. They're self-funded rather than VC-backed, which has kept their growth disciplined and their focus on doing the work properly rather than chasing headcount. The five-year plan is to become one of the top five service providers in their space globally. They get pulled in on the genuinely hard agentic problems the stuff clients can't crack in-house and they're now hiring an AI Team Lead to take the lead on that work and build the team around it.
About the Role
This is a hands-on role for someone happy to lead from the front. You'll be the technical anchor on the agentic work, taking messy, ambiguous client problems and turning them into proper multi-agent systems that hold up in production. You'll set the technical direction, work closely with senior stakeholders, and grow the team that delivers it. It reports into a highly technical lead who sets a genuinely high standard, so this suits someone who takes real pride in the quality of what they build. There's a lot of room to shape how things get done, so it's a better fit for someone who likes building than maintaining.
What You'll Do
- Own the design and build of their Multi-Agent Systems (MAS), picking the right patterns and frameworks for each problem rather than forcing one approach.
- Lead and mentor a team of around 15 AI Engineers, and keep the engineering bar high.
- Play a big part in hiring as the team grows.
- Design the memory and context side of things (user preferences, sliding windows, semantic recall) so agents stay coherent and useful over time.
- Set the evaluation standards making sure everything that ships is safe, reliable, and performs in production.
- Work directly with clients turning their requirements into real architecture and keeping them close throughout.
What They're Looking For
- Strong hands-on agentic AI experience you've designed and built AI architecture, not just directed it.
- 7+ years in engineering, with at least 2 of those in Gen AI or agentic systems.
- 5+ years of Python, and someone who genuinely cares about clean, modular code.
- Some experience leading or mentoring a team even at Team Lead level is fine; technical credibility matters more than a long management CV.
- Solid production experience with AWS Bedrock and/or GCP Vertex AI.
- Proper battle scars from running agentic systems in production, not just demos.
- Genuinely customer-facing and commercially aware — strong communicator, good with people, low ego.
Nice to Have
- Experience with multimodal systems text, audio, vision, structured data.
- A consulting or service-provider background, so you're used to handling client requirements and technical stakeholders.
Why It's Worth a Look
- AWS Premier Partner a genuinely serious technical shop, not a body-shop.
- Self-funded and growing fast, with big ambitions and the discipline to back them.
- Hard, interesting client problems real agentic work, not internal tooling.
- Real ownership over how the agentic practice is built and run.
- Remote-first with flexible hours.
Head of Artificial Intelligence in Swindon employer: asobbi
As a leading specialist services firm in the AI, Data, and DevOps sectors, our company offers an exceptional work environment for the Head of Artificial Intelligence role. With a strong emphasis on quality and innovation, we provide flexible working hours and a remote-first culture that empowers employees to take ownership of their projects while tackling challenging client problems. Our self-funded status ensures disciplined growth and ample opportunities for professional development, making us an attractive employer for those seeking meaningful and rewarding careers in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Artificial Intelligence in Swindon
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to multi-agent systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios specific to AI architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Artificial Intelligence in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your hands-on AI experience and any leadership roles you've had, as we want to see how you can lead our team effectively.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of projects where you've tackled complex problems, as this will show us your problem-solving skills.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Include details about the AI architectures you've designed and built, especially if they relate to multi-agent systems. We love seeing clean, modular code, so if you have a portfolio or GitHub, share it!
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at asobbi
✨Know Your Stuff
Make sure you brush up on your hands-on AI experience, especially with multi-agent systems. Be ready to discuss specific projects where you've designed and built AI architecture, as this role demands a strong technical foundation.
✨Showcase Leadership Skills
Even if you haven't held a formal management position, highlight any mentoring or team-leading experiences. Talk about how you've maintained high engineering standards and supported your team in achieving their goals.
✨Understand Client Needs
Since this role involves direct client interaction, prepare examples of how you've turned client requirements into actionable architecture. Demonstrating your customer-facing skills and commercial awareness will set you apart.
✨Be Ready for Technical Challenges
Expect to discuss your battle scars from running agentic systems in production. Prepare to explain how you've tackled messy, ambiguous problems and the frameworks you've chosen for different challenges.
