AI-Driven SDLC Transformation Lead

Accenture PLC; City of Albany (NY); On-site; USD 87,000 - 266,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture, a global leader in AI-enabled software transformation, seeks an AI SDLC Transformation Manager. You will guide enterprise clients in redesigning software delivery to be AI-native, leveraging flow metrics to surface waste and designing agentic workflows for upstream SDLC phases.

The role requires deep fluency in AI tooling, multi-agent patterns, and experience guiding large engineering organizations through modernization, with travel as needed.

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) or value stream mapping as diagnostic tools
• Minimum of 2 years working directly with AI/ML systems, LLMs, or agentic architectures in professional context
• Bachelor's degree or equivalent work experience (12 years)

Responsibilities

• Value stream mapping and flow metric analysis to identify waste in existing SDLC practices
• Design 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
• Ongoing research on capability shifts, new model releases, and practitioner patterns
• Translate benchmarks of digitally native organizations into actionable roadmaps for enterprise clients
• Influence clients to modernize processes that maximize agentic workflows and SDLC impact

Job description

Accenture, a global leader in AI-enabled software transformation, seeks an AI SDLC Transformation Manager. You will guide enterprise clients in redesigning software delivery to be AI-native, leveraging flow metrics to surface waste and designing agentic workflows for upstream SDLC phases.

The role requires deep fluency in AI tooling, multi-agent patterns, and experience guiding large engineering organizations through modernization, with travel as needed.