AI-Driven SDLC Transformation Lead

Accenture

Kirkland (WA)

On-site

USD 101,000 - 245,000

Full time

14 days+

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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 metrics to surface waste, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases.

The role requires extensive experience with AI tools, multi-agent patterns, and enterprise-scale delivery. The position involves travel and offers opportunities to influence clients, with compensation stated by location ranges

Qualifications

Minimum of 5 years across the full SDLC with ability to map and redesign delivery processes.
Minimum of 3 years designing or building multi-agent or LLM-integrated systems.
Minimum of 3 years in a consulting or advisory capacity with enterprise-scale engineering.
Minimum of 3 years applying flow metrics or value stream mapping as diagnostic tools.
Minimum of 2 years working with AI/ML systems, LLMs, or agentic architectures.
Bachelor's degree or equivalent work experience.

Responsibilities

Value stream mapping and flow metric analysis to identify waste in SDLC practices.
Design AI-native to-be processes that accelerate software definition, design, and governance.
Change management for engineering teams transitioning to AI-augmented workflows.
Strategy and design of agentic systems for upstream SDLC phases ensuring performance.
Know how to use creator and reviewer agent patterns and token impact.
Model SDLC as a system with feedback loops and bottlenecks.
Cross-functional collaboration across product, engineering, QA, security, and platform.
Maintain fluency in evolving AI tooling ecosystem and MCP/tool orchestration.
Track shifts in AI tooling and translate benchmarks into roadmaps.