Forward Deployed Engineer, AI

Orbis Investment Management Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Orbis Investment Management Limited in London is seeking a Forward Deployed Engineer, AI to join our team in London, hybrid work arrangement. You will build applications, agents and automations on the Orbis AI Platform, connecting models to data and firm knowledge, collaborating with investment research and client reporting teams.

You will evaluate outputs, test changes to models and data, ensure governance, security and reliability, and drive adoption after deployment while shaping platform

Qualifications

• Asset management knowledge and experience are strongly preferred.
• Strong software engineering foundations and experience building applications, including APIs and system integrations.
• Hands-on experience with AI-assisted development and connecting models to data and systems.

Responsibilities

• Work with investment research, operations and client reporting teams to prioritise problems, define how solutions should behave and agree measurable outcomes.
• Build applications, agents and automations on the Orbis AI Platform using shared data connections and capabilities.
• Apply engineering and governance standards addressing data access, security, testing, reliability, cost and maintainability.
• Evaluate outputs against real business examples, test changes to models, prompts and data, and establish where human review is needed.
• Return after deployment to assess adoption and outcomes, improve solutions and build colleagues’ confidence and independence.
• Partner with platform and development teams to agree delivery and support ownership, share reusable approaches and feed business needs into the platform roadmap.

Skills

Asset management

APIs

Data integration

AI-assisted development

Problem solving

Communication

Ownership

Tools

Software engineering

Job description

## Forward Deployed Engineer, AIApply: Hybrid: London Dorset Square: Full time: Posted 3 Days Ago: JR593## **AI at Orbis**At Orbis, we use AI to expand what our people can achieve: deeper investment insight, better informed decisions and more time for work that demands our judgement. We combine advances in AI with our own data, knowledge and investment expertise to develop capabilities that strengthen how we invest, serve clients and operate. The Orbis AI Platform already connects models with our systems, data and firm knowledge, supporting AI use across the firm. We are extending this foundation to agents that carry out increasingly complex tasks and workflows, with clear human accountability. This is an opportunity to build on that progress: translating business understanding and engineering expertise into capabilities that extend what an investment firm can do. ## **The role**To help deliver this ambition, we are seeking a Forward Deployed Engineer, AI to join our team in London. This role is for a hands-on engineer who combines technical depth, product judgement and business understanding to build solutions on the Orbis AI Platform and help shape how AI is applied across the firm. You will work directly alongside investment research, operations and client reporting colleagues, getting to know their work, questioning assumptions and identifying where technology can make a meaningful difference. You will have scope to shape the problem and the approach, taking solutions from the first conversation through to deployment and adoption. That could mean helping analysts investigate companies, making firm knowledge easier to apply, automating operational processing or strengthening client reporting. Working in a small team, you will combine product judgement with engineering craft: shaping how a solution should work with our colleagues, then building, testing and improving it in practice. You will draw on the Orbis AI Platform’s connections to models, data and firm knowledge, partnering with platform and development colleagues to deliver reliable applications and agents. You will see how your work performs in daily use, and what you learn will help shape the platform’s next capabilities. ## **Why Orbis*** **Culture**. We are committed to our Core Values. We encourage intellectual curiosity and individualism as well as collaboration across different areas of the business. We seek to hear our people’s voices – whether quiet or loud. Sharing ideas and challenging the status quo are commonplace.* **Autonomy**. While guidance and support are provided, team members own their work and projects.* **Growth opportunities**. We support our people in continuous learning and development.* **Agile environment**. We are committed to providing a work environment that balances the needs of our clients; the needs of our teams; and the personal needs, commitments, and interests of our people.* **Philanthropy**. Our people can contribute to society in a unique and personal way, through various philanthropy opportunities and programmes. ## **What you will do*** Work with investment research, operations and client reporting teams to prioritise problems, define how solutions should behave and agree measurable outcomes.* Build applications, agents and automations on the Orbis AI Platform, using shared data connections, tools and capabilities to develop integrations and workflows.* Apply Orbis engineering and governance standards, addressing data access, security, testing, reliability, cost and maintainability.* Evaluate outputs against real business examples, test changes to models, prompts and data, and establish where human review is needed.* Return after deployment to assess adoption and outcomes, improve solutions and build colleagues’ confidence and independence.* Partner with platform and development teams to agree delivery and support ownership, share reusable approaches and feed business needs into the platform roadmap. ## About you* Asset management knowledge and experience are strongly preferred, particularly in investment research, operations or client reporting. We also welcome engineers with a strong record of learning another complex domain.* Strong software engineering foundations and experience building applications that people use, including APIs and system integrations.* Hands-on experience with AI-assisted development and connecting models to data and systems, with an understanding of their limitations.* Strong problem-solving skills and product judgement: you get to the root of a problem, challenge assumptions and distinguish business needs from requested features to choose a proportionate solution.* Business curiosity and clear communication across teams and locations: you learn unfamiliar domains, listen carefully, explain technical choices and make space for different perspectives.* Ownership and initiative: you make considered decisions in ambiguous situations, seek specialist input, learn through experimentation and follow work through. ## **How to apply**To find out more about the role, please contact Jeremy Meredith.