REF: 11977

Gen AI Lead Senior Engineer | London | Hybrid | Permanent
Location: London (Hybrid – 3 days in office, 2 WFH)
Contract Type: Permanent
Salary: £170 000 base + Bonus
About the Company
A leading wealth management firm with $60 billion AUM is looking for a Gen AI Lead Senior Engineer to drive AI innovation and build cutting-edge business solutions powered by Machine Learning (ML) and Agentic AI Frameworks.
This is a first-of-its-kind hire for the firm’s AI strategy, with an exciting roadmap to prove initial use cases and scale the team to 8-10 members by 2028.

Key Responsibilities

• Develop & implement an AI-driven Manager Insights Toolkit to extract and summarize insights from documents.
• Build an internal chatbot for investment teams to query specific manager data efficiently.
• Evaluate & prioritize additional AI use cases based on business needs.Assess & implement AI frameworks
• tools, working with vendor solutions while bringing expertise in-house.
• Lead AI strategy execution, working closely with investment and client teams.
• Play a key role in scaling & hiring for the AI team over the next few years.

Key Requirements

8+ years of experience in AI

• ML, with recent focus on Generative AI (GenAI) & LLMs.
• Proven track record of building & deploying AI solutions from concept to production.
• Strong background in NLP & unstructured data processing.
• Industry preference: Asset Management or Wealth Management.
• Ability to work in a hybrid environment (3 days in-office, 2 remote).

Why Join?

• First AI hire at a firm managing $60bn AUM – opportunity to build & shape the AI function from the ground up.
• Strategic leadership role, with plans to grow and lead an AI team of 8-10 by 2028.
• Competitive £170k base salary + bonus.

• Work on high-impact AI initiatives in the investment sector.

• • Consultant: Joe Davies
    At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don’t meet every qualification.
    If you’re excited about a role but don’t perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise

• Develop & implement an AI-driven Manager Insights Toolkit to extract and summarize insights from documents.
• Build an internal chatbot for investment teams to query specific manager data efficiently.
• Evaluate & prioritize additional AI use cases based on business needs.Assess & implement AI frameworks
• tools, working with vendor solutions while bringing expertise in-house.
• Lead AI strategy execution, working closely with investment and client teams.
• Play a key role in scaling & hiring for the AI team over the next few years