Solutions Architect - AI - Machine Learning - London Hybrid (3 days onsite)

Are you passionate about building practical AI solutions that drive real-world impact across delivery, operations, and workforce management-not just theoretical proofs of concept?

What you'll be doing

• Designing and implementing AI and machine learning solutions that enhance productivity, automation, and decision-making.
• Identifying and refining AI use cases across Agile delivery, workforce management, and operational processes.
• Embedding generative AI capabilities such as copilots and chatbots into everyday enterprise workflows.
• Defining and enforcing ethical AI usage, governance, and compliance aligned to organisational standards.
• Architecting and optimising Agile tooling ecosystems using platforms such as Azure DevOps, Jira, GitHub, Jenkins, Clarity, and Rally.
• Rationalising and standardising tooling, taxonomies, and end-to-end reporting and MI across multiple delivery teams.

What we're looking for

• Strong track record designing and delivering AI/ML solutions in an enterprise environment.
• Experience applying AI within Agile delivery, operations, or workforce management contexts.
• Background in large-scale enterprise transformations in financial services or similar regulated environments.
• Hands-on expertise with Jira, Clarity, Rally and related ecosystems, including consolidation and standardisation.
• Experience architecting integrated Agile toolchains with platforms such as Azure DevOps, GitHub, and Jenkins.
• Proven ability to embed end-to-end reporting and management information across complex delivery landscapes.
• Deep understanding of Agile frameworks such as Scrum, SAFe, and Kanban.
• Solid knowledge of the software development lifecycle and DevOps practices, including CI/CD.

Interested? Apply now for immediate consideration!