AI-Driven SDLC Transformation Lead

Accenture; Raleigh (NC); On-site; USD 87,000 - 266,000; Full time

Job summary

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

You bring deep fluency in AI tooling, 5+ years across the SDLC, and 3+ years with multi-agent/LLM-enabled systems, plus consulting experience at enterprise scale.

Qualifications

• Minimum of 5 yearsworking across the full SDLC , requirements through release , with demonstrated ability to map, measure, and redesign delivery processes
• Minimum of 3 yearsof 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 yearsin a consulting or advisory capacity working with engineering organizations, ideally at enterprise scale (5,000+ employees or $1B+ revenue)
• Minimum of 3 yearsapplying flow metrics (cycle time, WIP, throughput, flow efficiency) or value stream mapping as active diagnostic tools, not just frameworks you've presented on
• Minimum of 2 yearsworking directly with AI/ML systems, LLMs, or agentic architectures in a professional, not just experimental , context
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

• 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 d esign 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 an d 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
• Ability to maintain fluency in the rapidly evolving AI tooling ecosystem (coding assistants, agentic platforms, evaluation frameworks, MCP/tool orchestration)
• Ongoing research practice tracking capability shifts, new model releases, and emerging practitioner patterns
• Expertise in what digitally native organizations are doing today and ability to translate those benchmarks into actionable roadmaps for enterprise clients
• Ability to influence clients to change and modernize processes that limit the positive impact of agentic ways of working and overall SDLC

Skills

SDLC experience

Multi-agent / LLM integration

Consulting experience

Flow metrics / value stream mapping

AI/ML systems experience

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Job description

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

You bring deep fluency in AI tooling, 5+ years across the SDLC, and 3+ years with multi-agent/LLM-enabled systems, plus consulting experience at enterprise scale.