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# Data & AI Architect

- **Company:** Wave Search
- **Location:** Swindon, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Data Architecture, Information Engineering, Data Infrastructure, Data Warehousing, Machine Learning, Software Engineering, Google Cloud, Model Validation, Data Lakes, Information Technology, Machine Learning Operations
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2825795478-data--ai-architect

## About the Role

* Strong experience as a Data Architect, AI Architect or Data & AI Solution Architect
 * Previous experience within banking or financial services
 * A solid background in software development and data engineering
 * Strong knowledge of modern data platforms, integration and governance
 * Knowledge of MLOps and production model deployment
 * Experience with AWS, Azure or Google Cloud
 * A good understanding of security, data privacy, model risk and auditability
 * Strong communication and stakeholder-management skills
 * The ability to provide technical leadership across business and delivery teams
 * Experience working with global delivery teams and relevant cloud, data or architecture certifications would be beneficial.

## Description

We are partnering with a leading global IT services and transformation business to appoint an experienced Data & AI Architect. This is an opportunity to design and deliver modern data and AI solutions for a major financial services client. You will work across data engineering, cloud platforms, advanced analytics and AI, translating business requirements into scalable, secure and production-ready solutions., You will work closely with business stakeholders, technology leaders and delivery teams to:

 * Design end-to-end data, analytics and AI solutions
 * Create solution architectures, technical designs and implementation roadmaps
 * Develop architectures across cloud, hybrid and on-premise environments
 * Support data lakes, lakehouse platforms, data warehouses and streaming solutions
 * Design AI, machine learning and GenAI solutions
 * Establish MLOps and model lifecycle-management approaches
 * Ensure solutions meet security, privacy, governance and regulatory requirements
 * Evaluate and recommend suitable platforms, tools and technologies
 * Provide technical leadership throughout development and implementation
 * Produce clear architecture documentation and solution blueprints
 * Communicate technical recommendations to senior client stakeholders


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