Data & Knowledge Architect (AI data foundations)
We are looking for a Data & Knowledge Architect (AI data foundations) for a 12‑month contract based in London or Edinburgh (hybrid – 3 days per week in the office).
Computershare is a global leader in financial administration with over 11,000 employees across more than 22 different countries. Many of the world’s leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers.
Our global footprint enables us to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs – offering peace of mind to our clients and their customers.
Key Responsibilities
- Define and contribute to the enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation.
- Design and implement knowledge foundations, including taxonomies, ontologies, metadata and knowledge graphs to support AI retrieval and reasoning.
- Establish scalable patterns for data ingestion, transformation and retrieval across structured and unstructured data sources.
- Support the development of retrieval‑augmented generation (RAG) frameworks, including embedding strategies, vector search and data pipelines.
- Embed data governance, security, privacy and Responsible AI practices across the knowledge layer.
- Collaborate with architecture, engineering and business teams to ensure data readiness, quality and accessibility for AI use cases.
Qualifications
- Strong experience in data architecture, data engineering or knowledge architecture within enterprise environments.
- Hands‑on experience with AI data foundations, including embeddings, vector databases and retrieval mechanisms (RAG).
- Proven track record working on large‑scale transformation programmes, ideally within financial services.
- Solid understanding of data governance, quality, lineage and security in regulated environments.
- Experience with modern cloud data platforms (AWS, Azure or similar) and associated tooling.
- Strong stakeholder collaboration skills, with the ability to translate business needs into scalable data solutions.
Employment Details
We can only accept workers operating via an Umbrella or PAYE engagement model.
For the duration of this assignment you will be working as an external resource engaged by AMS.
Equal Opportunity Statement
Computershare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability or any other protected characteristic.
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