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Metro location and broad AI tooling needs increase competition, but senior requirement limits applicant density.
Requires specific Generative AI/LLM and AI-enabled SDLC expertise, moderately transferable across industries.
Explicit 8+ years and 2+ years LLM hands-on experience and governance expertise make filters strict.
Lead and manage an enterprise-wide AI-Enabled Software Development Lifecycle (SDLC) pilot initiative.
Evaluate, implement, and optimize AI-powered development tools and autonomous coding agents across software engineering lifecycle.
Establish scalable AI-enabled SDLC practices to improve productivity, software quality, testing, documentation, and engineering efficiency.
Minimum 8+ years of Software Engineering experience.
At least 2+ years of hands-on experience in Generative AI or LLM implementation.
Experience evaluating and implementing AI coding assistants and autonomous agent tools (e.g., Cline, OpenCode, SpecKit, MCP-enabled Agent Tools).
Work Experience Required: 8+ years in Software Engineering with 2+ years in Generative AI / LLM implementation.
Experienced in driving adoption and enablement of AI tools within software teams in large or enterprise environments.
Capable of defining governance, security, and risk management practices related to AI in software engineering.
Strong focus on measurable improvements in productivity, code quality, maintainability, and cost efficiency through AI-enabled processes.