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

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Lead Architect – Full-Stack, Cloud, Data & AI Engineering Technical leadership of the end-to-end build, with accountability for establishing the team's deployment capability and mentoring Forward Deployed Engineers to independence Role Overview The Lead Architect sets and owns the technical direction for enterprise agentic AI solutions across application, cloud, data and AI layers — and delivers it through the team rather than personally. The primary mandate is to raise engineering capability: establish standards and reusable deployment assets, guide design and review work, and mentor Forward Deployed Engineers until they can build, deploy and operate solutions in client environments without escalation. Hands-on work is expected selectively — to stay technically credible and unblock the team — not as sustained feature delivery. Capability Coverage Full-stack engineering What the role is accountable for - Standards and patterns for Python services, JavaScript/TypeScript front ends, SQL and NoSQL data design, APIs, CI/CD and DevOps Mode of working - Guide, review, spike Azure cloud architecture What the role is accountable for - Target-state architecture, service selection, identity, networking, environments, non-functional targets and cloud cost discipline Mode of working - Own and decide Data 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 AI engineering & AIOps 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 Leadership Responsibilities Technical direction: Own the target architecture and the agentic-versus-deterministic decisions; hold the line on where agents add value and where rules or workflows suffice. Lead through the team: Break scope into buildable increments, run design walkthroughs and code reviews, and set the coding, testing, release and documentation standards the team works to. Build deployment capability: Convert today's person-dependent deployment into documented, reusable practice — reference architecture, IaC modules, pipeline templates, runbooks and environment checklists. Mentor FDEs to independence: Pair on builds, review their designs, run structured enablement, and hand over deployment ownership against defined competency milestones. Stakeholder ownership: Carry architecture and security posture through client technology and security review; act as final technical escalation on deployment and production issues.