AI-Native SDLC Transformation Lead

Accenture; Morristown (NJ); On-site; USD 101,000 - 266,000; Full time

Job summary

Accenture is hiring for an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. The role demands deep experience across the full SDLC, multi-agent or LLM-integrated systems, and advisory work at scale.

You will map, measure, and accelerate delivery with cutting-edge AI tooling and governance, while collaborating across product, engineering, QA, security, and platform teams.

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

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 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 metric analysis

AI-native workflows

Agentic systems

Change management

Roadmap design

Cross-functional collaboration

AI tooling fluency

Research tracking

Enterprise consulting

Executive influence

Education

Bachelor's degree

Tools

GitHub Copilot

Cursor

Amazon Q Developer

Cody

Job description

Accenture is hiring for an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. The role demands deep experience across the full SDLC, multi-agent or LLM-integrated systems, and advisory work at scale.

You will map, measure, and accelerate delivery with cutting-edge AI tooling and governance, while collaborating across product, engineering, QA, security, and platform teams.