AI SDLC Transformation Lead

Accenture; Detroit (MI); On-site; USD 87,000 - 266,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will surface waste with flow metrics, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases.

Role requires extensive SDLC experience, 3+ years with multi-agent/LLM systems, and consulting experience at enterprise scale. Travel may be required; compensation aligns with market ranges.

Qualifications

• Minimum of 5 years working across the full SDLC, requirements through release, with demonstrated ability to map, measure, and redesign delivery processes.
• Minimum of 3 years hands-on experience designing or building multi-agent or LLM-integrated systems, including prompt engineering, tool-use orchestration, or agentic application development.
• Minimum of 3 years in a consulting or advisory capacity working with engineering organizations, ideally at enterprise scale (5,000+ employees or $1B+ revenue).
• Minimum of 3 years applying flow metrics (cycle time, WIP, throughput, flow efficiency) or value stream mapping as active diagnostic tools.
• Minimum of 2 years working directly with AI/ML systems, LLMs, or agentic architectures in a professional context.

Responsibilities

• Value stream mapping and flow metric analysis to identify waste in existing SDLC practices.
• Design 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.
• Maintain fluency in evolving AI tooling ecosystem (coding assistants, agentic platforms, evaluation frameworks, MCP/tool orchestration).
• Ongoing research tracking capability shifts, new model releases, and emerging practitioner patterns.
• Translate benchmarks of digitally native organizations into actionable roadmaps for enterprise clients.

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will surface waste with flow metrics, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases.

Role requires extensive SDLC experience, 3+ years with multi-agent/LLM systems, and consulting experience at enterprise scale. Travel may be required; compensation aligns with market ranges.