AI-Driven SDLC Transformation Lead

Socket.dev; Missouri; On-site; USD 90,000 - 210,000; Full time

Job summary

Accenture is seeking an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will apply flow metric analysis across SDLC, surface waste, and design future-state workflows with agentic systems for upstream phases such as requirements, design, and architecture.

You will translate evolving AI tooling landscapes into actionable roadmaps, influence clients to modernize processes, and work across product, engineering, QA, security, and

Qualifications

• Minimum of 5 years 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, not just frameworks you've presented on
• 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. (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 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

AI/ML systems

Flow metrics

Consulting

SDLC mapping

Enterprise clients

Education

Bachelor's degree or equivalent

Tools

GitHub Copilot

Cursor

Amazon Q Developer

Cody

Job description

Accenture is seeking an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will apply flow metric analysis across SDLC, surface waste, and design future-state workflows with agentic systems for upstream phases such as requirements, design, and architecture.

You will translate evolving AI tooling landscapes into actionable roadmaps, influence clients to modernize processes, and work across product, engineering, QA, security, and