About this role
Job Description Role • FDE Agentic SDLC Principal Developer Role Summary: Exp 16 yrs + Strong in at least one of Java / .NET / Python / JavaScript-TypeScript; Git, CI/CD, test automation, containers and worked on public Cloud platform Work fluently inside an agentic coding tool (Claude Code, Copilot, Cursor): task decomposition, iterative steering, and knowing when to restart a loop Repo and spec grounding, retrieval over enterprise context, prompt and instruction file design Build verification harnesses so output is provably correct, not plausibly correct Own the client’s AI-SDLC transformation and its economics. Define the target operating model: pod archetypes, role mix, control points, pilot-to-portfolio ramp Own unit economics: token and infrastructure cost modeling, cost per story/release, build-vs-buy, self-hosted vs. API LLM TCO Set the client’s model portfolio strategy: frontier vs. open-weight vs. fine-tuned SLM, multi-vendor and exit risk, roadmap and deprecation planning, sovereign and on-prem constraints Shape the commercial construct: outcome-based and productivity-linked pricing, gainshare, and the delivery risk behind it Set platform and reference architecture: tool standardization, MCP/context platform, eval and observability layer, model governance Establish AI governance with CISO/legal/compliance: policy, IP, model risk, approval workflow, audit posture Advise CIO/VP Engineering as a peer; lead adoption and change across engineering leadership Diagnose stalled adoption at the system level, not the tooling level Feed field learning back into the offering: assets, accelerators, playbooks, capability building Mentor Band 2–3 FDEs and build the bench