At a Glance
- Tasks: Lead the design and delivery of cutting-edge AI systems for top financial institutions.
- Company: Join a leading global consultancy known for its entrepreneurial culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Diverse and inclusive environment encouraging underrepresented talent to apply.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Experience with LLMs, Python, and MLOps; strong leadership skills.
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.
What you'll be doing:
- 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.
What we're looking for:
- A strong record of taking LLMs and multi-modal models from development through to production, with real experience of operating at scale.
- 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.
- Practical experience with agentic frameworks such as LangChain or LlamaIndex.
ADVERT DISCLAIMER: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles.
Lead AI Engineer employer: Primis
Join a leading global management and technology consultancy in London, where innovation meets an entrepreneurial spirit. As a Lead AI Engineer, you'll thrive in a collaborative work culture that prioritises employee growth and development, offering unique opportunities to shape the future of AI in financial services. With a commitment to diversity and inclusion, this company not only values your expertise but also fosters an environment where every voice is heard and every idea can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in AI and financial services. We recommend practising common interview questions and even some technical challenges related to LLMs and MLOps to show you’re ready to hit the ground running.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We want to see how you’ve tackled real-world problems with AI systems, so don’t hold back on sharing your successes and learnings.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our team and make an impact in the AI space.
We think you need these skills to ace Lead AI 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 experience with LLMs, MLOps, and any relevant projects you've worked on. 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 leadership experience and how you bridge the gap between tech and business.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work and how you’ve tackled challenges.
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 you’re keen to join our awesome team at StudySmarter!
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 LLMs and multi-modal models. Be ready to discuss your hands-on experience with these technologies and how you've successfully deployed them in production.
✨Showcase Your Leadership Skills
Since this role involves leading technical teams, prepare examples of how you've bridged the gap between engineering and business. Think about times when you made complex AI concepts accessible to stakeholders and how that impacted project success.
✨Get Familiar with MLOps
Understand the ins and outs of MLOps and cloud-native infrastructure. Be prepared to talk about how you've developed robust pipelines and ensured the performance of AI systems in real-world scenarios.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and their expectations for the Lead AI Engineer role. This shows your genuine interest and helps you gauge if the company culture aligns with your values.
