Lead AI Engineer - Production GenAI for Wealth Management

Lead AI Engineer - Production GenAI for Wealth Management

Full-Time 69750 - 85250 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of AI tools that transform wealth management.
  • Company: Orbis Group, a leader in innovative financial solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team driving change in the wealth management industry.
  • Why this job: Be at the forefront of AI innovation and make a real impact in finance.
  • Qualifications: Experience with LLM/GenAI tools and strong collaboration skills.

The predicted salary is between 69750 - 85250 Β£ per year.

Orbis Group is seeking a Lead AI Engineer to sit at the centre of a transformative AI shift within a wealth management context.

You will work directly with business teams across the firm to identify high-value use cases and then design, build, and ship production AI tools that deliver real value.

The role requires experience shipping LLM/Gen AI tools to production, comfort collaborating with non-technical stakeholders, and preferring some exposure to wealth or asset management.

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Lead AI Engineer - Production GenAI for Wealth Management employer: Orbis Group

Orbis Group is an exceptional employer, offering a dynamic work environment where innovation meets security in the fast-paced trading sector. With a strong emphasis on employee growth and collaboration, you will have the opportunity to shape cutting-edge security strategies while working closely with senior leadership. Our culture fosters creativity and technical excellence, making it an ideal place for professionals eager to make a meaningful impact in cyber security.

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Contact Details:

Orbis Group Recruitment Team

We think you need these skills to ace Lead AI Engineer - Production GenAI for Wealth Management

AI Engineering
LLM/GenAI Tools Development
Production Deployment
Collaboration with Non-Technical Stakeholders
Wealth Management Knowledge
Asset Management Exposure
Use Case Identification