AI SDLC Lead
Full-time
JSR Tech Consulting
Role Description
The AI Software Development team is charged with transforming how our engineering organization designs, builds, and ships software. The team drives the adoption of AI-assisted tooling across the full software development lifecycle, deploys autonomous agents that expand engineering capacity, and ensures that every new generation of AI capability is evaluated, integrated, and operationalized with rigor.
As the AI SDLC Lead, you own the engineering organization's AI-enhanced developer experience end to end. You are responsible for selecting, integrating, and continuously evolving the toolchain that makes each engineer measurably more productive - spanning IDE intelligence, code review automation, documentation generation, and test augmentation. You set the technical direction for AI tooling across the SDLC and ensure those investments deliver compounding value rather than accumulate as technical debt.
Qualifications
- 7+ years of software engineering experience with depth in platform engineering, developer experience, or developer tooling.
- Track record of owning and scaling developer tooling platforms across 50+ engineer organizations.
- Deep hands-on experience with AI-assisted development tools - GitHub Copilot, Cursor, JetBrains AI, or equivalents.
- Direct experience with prompt engineering and LLM-based developer tools integrated into engineering workflows.
- Familiarity with AI coding capability benchmarks - including SWE-bench, METR autonomous task research, and similar empirical evaluation frameworks.
- Strong understanding of SDLC toolchains: CI/CD, SCM, code review, artifact management, and observability.
- Experience driving technical evaluations, RFPs, and vendor negotiations for engineering tooling.
- Ability to design measurement and instrumentation systems for developer productivity.
- Strong cross-functional communication skills - capable of translating technical tooling decisions into business outcomes.
Requirements
- Experience integrating LLM-based tools into enterprise software delivery pipelines at a regulated or security-sensitive organization.
- Contributions to open-source developer tooling projects.
- Familiarity with IP and code confidentiality risk models in AI-assisted coding environments.
- Prior experience presenting technology strategy to CTO or CIO-level leadership.
Vacancy posted 59 minutes ago
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