AI-Driven SDLC Transformation Lead

Accenture PLC; Redmond; On-site; AUD 134,000 - 379,000; Full time

Job summary

Accenture seeks an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You’ve spent real time in software delivery and understand process-level gaps, with the ability to weave AI in deliberately rather than bolt on.

You will surface waste via flow metric analysis, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases, translating modern AI tooling into actionable roadmaps. Travel may be required.

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 of 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 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 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 benchmarks into actionable roadmaps for enterprise clients.
• Ability to influence clients to change and modernize processes that limit the value of agentic work.

Skills

Flow metrics

SDLC knowledge

AI tooling fluency

Multi-agent / LLM systems

Prompt engineering

Tool orchestration

Consulting experience

Change management

Stakeholder influence

Education

Bachelor's degree or equivalent

Associate’s degree acceptable with 6+ years

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’ve spent real time in software delivery and understand process-level gaps, with the ability to weave AI in deliberately rather than bolt on.

You will surface waste via flow metric analysis, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases, translating modern AI tooling into actionable roadmaps. Travel may be required.