AI-Driven SDLC Transformation Lead

Accenture; Beaverton (OR); On-site; USD 100,000 - 210,000; 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 map, measure, and redesign delivery processes across full SDLC, focusing on multi-agent and LLM-enabled workflows and translating evolving AI tooling into practical roadmaps.

Travel may be required. You bring 5+ years in SDLC, 3+ years in multi-agent/LLM systems, and 3+ years in consulting for enterprise-scale engineering organizations, plus hands-on tool

Qualifications

• Minimum of 5 years across the full SDLC, requirements through release.
• Minimum of 3 years 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, not just frameworks you've presented on
• Minimum of 2 yearsworking directly with AI/ML systems, LLMs, or agentic architectures in a professional context

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 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
• 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

Value stream mapping

Flow metrics analysis

AI-native workflows

Change management

Stakeholder influence

Education

Bachelor's degree or equivalent

Tools

GitHub Copilot

Cursor

Amazon Q Developer

Cody

Job description

Accenture seeks an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will map, measure, and redesign delivery processes across full SDLC, focusing on multi-agent and LLM-enabled workflows and translating evolving AI tooling into practical roadmaps.

Travel may be required. You bring 5+ years in SDLC, 3+ years in multi-agent/LLM systems, and 3+ years in consulting for enterprise-scale engineering organizations, plus hands-on tool