At a Glance
- Tasks: Lead the design and deployment of next-gen AI systems for top financial institutions.
- Company: Global consultancy known for its entrepreneurial culture and tech expertise.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Inclusive environment encouraging diverse talent to apply.
- Why this job: Shape the future of AI in finance and work on cutting-edge technology.
- Qualifications: Strong Python skills and experience in MLOps and cloud infrastructure.
The predicted salary is between 80000 - 100000 £ per year.
We're partnered with a leading global management and technology consultancy seeking a talented Lead AI Engineer to join their Technology Delivery team in London. Known for their entrepreneurial culture and deep expertise across financial services, this is an exceptional opportunity to architect and deliver next-generation AI systems at the heart of some of the world's most complex financial institutions.
You'll take a hands-on leadership role designing and deploying generative AI and agentic systems end-to-end - from early architecture through to production - working across multidisciplinary teams and directly shaping how leading financial institutions adopt AI at scale.
- Designing and delivering autonomous AI systems that bring together multi-modal LLMs.
- Building agentic workflows that connect AI agents to live data sources and APIs, drawing on prompt engineering and RAG to drive accuracy and relevance.
- Optimising and shipping large language and multi-modal models into production, balancing performance, latency, and reliability at enterprise scale.
- Developing robust MLOps pipelines and full-stack applications that underpin scalable, production-ready AI deployments.
- Acting as a trusted advisor to clients and internal teams on GenAI strategy, making complex AI concepts accessible and actionable for business stakeholders.
Solid Python engineering skills, with a proven ability to build and ship backend systems and APIs. Hands-on knowledge of MLOps, cloud-native infrastructure, and the observability practices that keep AI systems performing in the real world. Comfortable leading technical teams and bridging the gap between engineering and business - able to bring stakeholders along on complex decisions in fast-moving agile environments.
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
AI Lead Engineer employer: Primis
As a leading global management and technology consultancy, we pride ourselves on fostering an entrepreneurial culture that empowers our employees to innovate and excel. Located in the vibrant city of London, we offer exceptional growth opportunities for our team members, allowing them to work on cutting-edge AI projects that shape the future of financial services. Our commitment to diversity and inclusion ensures a supportive environment where every voice is valued, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Lead Engineer
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and MLOps. This gives you a chance to demonstrate your hands-on experience and technical prowess beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to AI engineering. Practice explaining complex concepts in simple terms, as you'll need to bridge the gap between tech and business stakeholders.
✨Tip Number 4
Don’t hesitate to apply through our website! We’re all about supporting diverse talent, so even if you don’t tick every box, we want to hear from you. Your unique perspective could be just what we need!
We think you need these skills to ace AI Lead Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your Python engineering skills, MLOps knowledge, and any experience with generative AI systems. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention your experience in leading technical teams and bridging gaps between engineering and business.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them! Whether it's building autonomous AI systems or optimising large language models, we want to see what you've done. This is your opportunity to demonstrate your hands-on experience and creativity.
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 to join our entrepreneurial culture!
How to prepare for a job interview at Primis
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around generative AI and multi-modal models. Be ready to discuss your hands-on experience with Python and MLOps, as well as how you've tackled real-world challenges in deploying AI systems.
✨Showcase Your Leadership Skills
Since this role involves leading technical teams, prepare examples of how you've successfully managed projects and collaborated with multidisciplinary teams. Highlight your ability to bridge the gap between engineering and business, making complex concepts accessible to stakeholders.
✨Understand the Financial Sector
Familiarise yourself with the financial services landscape and how AI is transforming it. Be prepared to discuss how your work can impact financial institutions and improve their operations, showcasing your understanding of the industry's unique challenges.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the company and the role. Inquire about their current AI projects, team dynamics, and how they envision the future of AI in their consultancy. This shows you're not just interested in the job, but also in contributing to their vision.
