Computershare
Lead AI Architect (Enterprise AI)
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Lead AI Architect (Enterprise AI)
Lead AI Architect (Enterprise AI) – 12-Month Contract
About Computershare
Computershare is a global leader in financial administration with over 11,000 employees across more than 22 countries. Many of the world’s leading organisations rely on us to streamline and maximise the value of relationships with their investors, employees, creditors, and customers.
Our global presence enables us to maintain robust compliance, audit, risk, financial crime, disaster recovery, and business continuity planning programmes, offering peace of mind to our clients and their customers.
The Role
We are seeking a Lead AI Architect (Enterprise AI) for a 12-month contract, based in London or Edinburgh (hybrid, 3 days per week in the office).
What You’ll Do
As the Lead AI Architect (Enterprise AI), you will drive the design and delivery of a next-generation enterprise AI ecosystem, embedding intelligent capabilities across Computershare. You will define the architectural vision and standards that enable scalable, secure, and business-aligned AI solutions, supporting a major transformation programme.
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Your key responsibilities will include:
- Defining and owning the enterprise AI architecture, encompassing model strategy, orchestration frameworks, APIs, and integration standards.
- Establishing architectural patterns for Generative AI, agentic systems, retrieval-augmented generation (RAG), and data pipelines at scale.
- Leading the selection and optimisation of the AI technology stack, balancing capability, cost, risk, and vendor considerations.
- Driving adoption of shared, governed AI platforms and reusable components across multiple workstreams.
- Providing architectural leadership and oversight, ensuring AI solutions are scalable, secure, and aligned with enterprise standards.
- Embedding Responsible AI, security, governance, and observability into all AI solutions as they move into production.
Requirements
To excel in this role, you should bring:
- Extensive experience in enterprise or solution architecture, with a strong focus on AI, machine learning, or distributed systems.
- Proven expertise in Generative AI technologies, including Large Language Models (LLMs), agentic frameworks, and vector databases.
- A strong command of at least one major cloud platform (AWS or Azure) and modern software engineering practices.
- Demonstrated experience in financial services or another regulated industry (mandatory).
- A deep understanding of AI governance, security, and Responsible AI principles.
- The ability to engage and influence senior stakeholders, translating business strategy into architectural roadmaps.
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Next Steps
Computershare is committed to providing equal opportunities and ensuring fairness throughout recruitment:
“We are dedicated to offering you the opportunity to succeed on your own merits. We aim to create an environment where everyone feels valued, barriers are removed, and equal opportunities are available to all."
If you’re interested, please apply through the provided link and connect with one of our Sourcing Specialists.
Please Note:
- Only workers operating via an Umbrella or PAYE engagement model can be considered.
- For this assignment, you will be engaged by AMS as an external resource.
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