AI-Driven SDLC Transformation Lead

Accenture; Mountain View (CA); On-site; USD 94,000 - 266,000; Full time

Job summary

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

You will also build agentic systems and translate evolving AI tooling landscapes into actionable roadmaps for clients, working across product, engineering, QA, security, and platform teams.

Qualifications

• Minimum of 5 years across the full SDLC from requirements to release.
• Minimum of 3 years designing or building multi-agent/LLM systems.
• Minimum of 3 years in a consulting/advisory capacity with enterprise-scale clients.
• Minimum of 3 years applying flow metrics or value stream mapping.
• Minimum of 2 years working with AI/ML systems, LLMS or agentic architectures.
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Value stream mapping and flow metric analysis to identify waste.
• Design AI-native to-be processes that accelerate software governance.
• Change management for engineering teams adopting AI-augmented workflows.
• Strategy and design of agentic systems for upstream SDLC phases.
• Clarify use of creator and reviewer agent patterns and token impact.
• Model SDLC as a system, identifying bottlenecks and feedback loops.
• Cross-functional collaboration across product, engineering, QA, security, platform.
• Maintain fluency in evolving AI tooling ecosystems and MCP orchestration.
• Track model releases and practitioner patterns for roadmap improvements.
• Translate benchmarks into actionable enterprise roadmaps.

Skills

flow metrics

value stream mapping

AI tooling

leadership

design thinking

Education

Bachelor's degree or equivalent

Tools

LLM-integrated systems

prompt engineering

tool orchestration

Job description

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

You will also build agentic systems and translate evolving AI tooling landscapes into actionable roadmaps for clients, working across product, engineering, QA, security, and platform teams.