Lead Architect – Full-Stack, Cloud, Data & AI Engineering

What the role is accountable for - PySpark and Databricks pipeline architecture, layered data design, quality controls and performance standards

Mode of working - Direct and review

What the role is accountable for - Agent and orchestration design, evaluation harnesses, guardrails, human-approval flows, tracing, versioning and drift monitoring

Mode of working - Own and direct

10+ years in software, platform or applied AI engineering, including 4+ years leading engineering teams on systems that reached production.

Full-stack delivery background — Python, relational and NoSQL stores, web application deployment, CI/CD and DevOps practice.

Hands-on architecture experience with the standing to own and defend decisions with client cloud and security teams.

Working depth in PySpark and Databricks, and in agent development with a mainstream orchestration framework plus evaluation and production monitoring.

Demonstrated record of mentoring engineers and raising team capability — not only shipping personally.

Named FDEs deploy and operate solutions independently; delivery is not dependent on this individual.

Time-to-deploy reduces engagement over engagement through reusable assets and standards.

Solutions reach production on committed timelines, with architecture and security accepted with minimal remediation.

Agent quality, availability, latency and cloud cost tracked against defined baselines, with regressions caught pre-release.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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