AI-Driven SDLC Transformation Manager

Accenture PLC; Orlando (FL); On-site; USD 94,000 - 266,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC seeks an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will surface waste with flow metrics, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases including requirements and design.

The role requires deep fluency in AI tooling and experience translating benchmarks into actionable roadmaps for large organizations.

Qualifications

• Minimum of 5 years across the full SDLC, from requirements to 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 and tool orchestration.
• Minimum of 3 years in a consulting/advisory capacity with engineering organizations, ideally at enterprise scale (5,000+ employees or $1B+ revenue).
• Minimum of 3 years applying flow metrics or value stream mapping as 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 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 reviews, and architecture validation.
• Know how to use creator and reviewer agent patterns and the token impact of doing so.
• Model SDLC as a system, identifying bottlenecks and second-order effects of process changes.
• Cross-functional collaboration with product, engineering, QA, security, and platform teams.
• Maintain fluency in evolving AI tooling ecosystem (coding assistants, agentic platforms, MCP/tool orchestration).
• Ongoing research tracking capability shifts, new model releases, and emerging practitioner patterns.

Skills

SDLC

Flow metrics

AI tooling

Consulting experience

Bachelor's degree

Education

Bachelor's degree or equivalent

Tools

AI coding assistants

LLM-integrated systems

Job description

Accenture PLC seeks an AI SDLC Transformation Manager to guide enterprise clients in redesigning software delivery to be AI-native. You will surface waste with flow metrics, design future-state AI-native workflows, and build agentic systems for upstream SDLC phases including requirements and design.

The role requires deep fluency in AI tooling and experience translating benchmarks into actionable roadmaps for large organizations.