At a Glance
- Tasks: Lead hands-on delivery of Generative AI systems and shape a new Centre of Excellence.
- Company: High-growth consultancy investing in cutting-edge Generative AI technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and autonomy.
- Why this job: Make a real impact by building innovative AI solutions for clients.
- Qualifications: 3+ years in Generative AI or applied ML, with cloud-native experience.
The predicted salary is between 80000 - 100000 £ per year.
Location: UK (Hybrid – 1–2 days per week onsite)
Employment Type: Permanent
167 Solutions is partnering with a high-growth consultancy making a significant multi-year investment into Generative AI. 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 a 24/7 hands-on engineering role, building, testing, deploying, and iterating production-grade GenAI systems at enterprise scale. You will help define the technical direction, tooling, and engineering standards while actively writing code and shipping solutions.
- 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.
- 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.
- 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.
Minimum 3 years’ experience building and deploying Generative AI or applied ML systems.
Experience with RAG architectures and vector databases.
Cloud-native experience across AWS and/or GCP.
Experience operating at Senior / Lead / Manager level, or as the go-to GenAI engineer on projects.
Enterprise-scale builds with real users, real data, and real impact.
Hybrid working that balances autonomy with collaboration.
Technical Manager (m/w/d) gesucht! in London employer: 167Solutions
At 167 Solutions, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge Generative AI projects, providing you with the opportunity to lead and shape the future of technology while enjoying the flexibility of hybrid working. Join us to be part of a forward-thinking team where your contributions have real impact and where we support your professional development every step of the way.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Manager (m/w/d) gesucht! in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and problem-solving approach.
✨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 Technical Manager (m/w/d) gesucht! in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Technical Manager role. Highlight your experience with Generative AI, cloud-native solutions, and any hands-on engineering projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how you can contribute to our Centre of Excellence. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with RAG architectures, vector databases, or any LLMs. This gives us a clear picture of your hands-on experience and technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at 167Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Generative AI, RAG architectures, and cloud platforms like AWS and GCP. Brush up on your coding skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Hands-On Experience
Prepare to share concrete examples of your hands-on delivery in previous roles. Talk about how you’ve built, tested, and deployed AI systems, and be ready to dive into the details of your engineering standards and practices.
✨Understand the Business Context
Since this role involves translating business problems into AI solutions, do your homework on the company’s industry and potential challenges they face. This will help you demonstrate how your technical skills can directly benefit their operations.
✨Prepare for Client Interaction Scenarios
As you'll be working directly with clients, think about how you would approach client meetings. Prepare to discuss how you would gather requirements and translate them into deployable solutions, rather than just theoretical concepts.
