Data & AI Architect

JOB SUMMARY The architect will lead both pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production. Joining a small, senior practice means early client exposure, fast architectural decisions, hands-on implementation and direct influence over delivery standards and reusable assets. It also means varied, ambiguous work and occasionally creating the playbook; candidates seeking a tightly defined remit may not find the role suitable. Time is split approximately equally between client engagement and delivery, flexing with the pipeline. Typical work includes discovery workshops, target-state architecture, proposal estimates, code review, building a retrieval-augmented vertical slice, client enablement, steering-committee presentations and converting lessons into reusable patterns. JOB RESPONSIBILITIES: Solutioning and pre-sales Shape technical approaches, challenge problem statements and facilitate discovery workshops. Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates. Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs. Delivery and hands-on architecture Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical Remain hands-on, implementing demanding components and reference solutions. Deliver Databricks lakehouses, including medallion layers, Unity Catalog,