VirtueTech Recruitment Group
Software Architect
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Role Overview
An experienced AI exposure engineer is needed for an established Asset Management giant who are at the beginning of a major enterprise-wide AI journey.
Key Requirements
It does not matter if you were an AI Architect, Forward Deployed Engineer, or AI Engineering Lead, as long as you can showcase understanding of AI systems and how they are deployed on a wider scale.
This is a greenfield AI leadership role. The business has already invested in AI and currently has teams across the group working on multiple parts of AI-assisted development, however, what they currently require is someone who can come in with financial services knowledge to sit with the CTO and understand how to put it all together.
The key question for this hire is: "How do we use AI across the enterprise and, more importantly, how do we actually execute it?"
Despite the role requiring heavy business and stakeholder communication, it is still requiring someone who has an engineering background so they can understand the whole end-to-end process of development, what should be prioritized by different teams across the group, and also what parts of the business can benefit from the AI.
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Responsibilities
- Lead the AI function
- Establish the technical direction
- Work directly with the business to identify where AI can deliver genuine value
Experience Required
- AI + Compliance: This is a highly regulated Financial Services environment, so understanding how to deploy AI responsibly will be critical. The company already has an internal AI policy which you will need to work within. You therefore need to understand not simply what AI can do, but how AI can be implemented within a regulated enterprise environment where security, compliance, data governance, and confidentiality are fundamental.
- Financial Services Exposure: A must-have.
- Engineering Experience: Can be from any sort of engineering background but it is probably expected that Python might feature more.
- Senior AI Engineering Experience: Within a financial services environment.
- Strong Hands-On Engineering Capability: Despite being strategic, you need to understand how engineering works.
- Experience with LLMs, Generative AI, and/or Autonomous AI Agents:
- Experience Integrating AI with Enterprise Data and Business Systems:
- Experience Identifying and Delivering Practical AI Use Cases:
- Ability to Explain Complex AI Concepts to Senior Business Stakeholders:
- Experience Building or Shaping AI Engineering Teams:
- Strong Understanding of AI Governance, Data Security, and Compliance:
- A Track Record of Solving Genuine Business Problems Through AI:
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Package
- Permanent: Up to £130k + Bonus + Benefits
- Hybrid: 3 Days a Week Hybrid, London
Application
If you're a Senior AI Engineer, AI Tech Lead, Forward Deployed Engineer, or AI Engineering Manager with Financial Services experience and you're interested in building an AI function across a wide business group from the ground up, please reply with your latest CV or send it to tomasz@virtuetech.io
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