Hiring: AI SDLC Transformation Manager Company: Accenture Location: Albany, New York Metropolitan Area Job Posted Time: 2026-09-16 04:28:20 Target Skills & Keywords : Agile, C, GitHub, LLM, Make, Move, SAFe, TestNG, Zoom About the job Experience: •5 years working across the full SDLC, requirements through release, with demonstrated ability to map, measure, and redesign delivery processes •3 years of hands-on experience designing or building multi-agent or LLM-integrated systems, including prompt engineering, tool-use orchestration, or agentic application development •3 years applying flow metrics (cycle time, WIP, throughput, flow efficiency) or value stream mapping as active diagnostic tools, not just frameworks you've presented on •2 years working directly with AI/ML systems, LLMs, or agentic architectures in a professional, not just experimental, context Required Skills: •Value stream mapping and flow metric analysis (cycle time, flow efficiency, WIP, throughput) to identify waste in existing SDLC practices •Design of AI-native to-be processes that restructure and accelerate how software is defined, designed, and governed •Change management for engineering teams transitioning to AI-augmented workflows •Strategy and design of agentic systems targeting upstream SDLC phases: requirements generation, user story synthesis, design review, and architecture validation •Know how and where to use creator and reviewer agent patterns and the token impact of doing so. •Model SDLC as a system, identifying feedback loops, bottlenecks, and second-order effects of process changes •Cross-functional perspective spanning product, engineering, QA, security, and platform •Demonstrated capacity to maintain fluency in the rapidly evolving AI tooling ecosystem (coding assistants, agentic platforms, evaluation frameworks, MCP/tool orchestration) Qualifications: •Applied hands-on capability in 2+ leading AI coding assistants (GitHub Copilot, Cursor, Amazon Q Developer, Cody) in enterprise environments •Experience designing lightweight LLM evals for AI-generated SDLC artifacts( requirements docs, user stories, design reviews) •Solid functional working knowledge of Model Context Protocol (MCP) and emerging tool orchestration standards •Fluency in at least one major delivery methodology (Agile, SAFe, continuous delivery) with a clear point of view on where AI creates the most leverage •Track record of presenting AI transformation strategies to VP- or C-level stakeholders and getting buy-in •Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. •We anticipate this job posting will be posted until 11/30/2026. •12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) •Minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Compensation: •$94,400 - $266,300 / year •3 years in a consulting or advisory capacity working with engineering organizations, ideally at enterprise scale (5,000+ employees or $1B+ revenue) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!