AI-Driven Engineering Lead - Enterprise SCM

Archer; Arlington (VA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision, life benefits

401(k) plan

Paid holidays and paid time off

Job summary

Accenture is seeking a senior AI/End-to-End Supply Chain & Engineering expert to partner with clients in Arlington, VA to design and deploy AI-enabled supply chain transformations. You will lead multi-domain AI programs, translate complex operating models into actionable AI architectures, and drive rapid experimentation to production.

The role requires 5+ years of engineering experience, 1+ year in agentic AI deployment, and 2+ years with major AI platforms, with a focus on end-to-end supply

Qualifications

• 5+ years of engineering experience with deep hands-on knowledge of enterprise SCM or ERP platform transformations (SAP, Oracle, Kinaxis, O9, Blue Yonder, or equivalent) including what breaks after go-live.
• Minimum 1 year designing and deploying agentic AI solutions in production environments (agents, orchestration, RAG, context engineering)
• Minimum 2 years working with AI platforms (Anthropic, OpenAI, Vertex AI, or open source) including multi-provider pipeline architecture
• Deep design experience and fluency across one or several cross-domain processes including Idea to Retire, Source-to-Pay, Plan-to-Produce, Order-to-Cash, and Plan-to-Deliver with the ability to map how these processes intersect, where friction compounds, and how operating model gaps amplify system limitations.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Responsibilities

• Own the full arc from business case to production: understand the client's operating model, identify the process friction and system interdependencies that block value, and build AI solutions that eliminate them — across ERP (SAP, Oracle), SCM platforms (Kinaxis, O9, Blue Yonder, Ariba), MES, and planning layers
• Lead cross-domain AI deployments at the functional interfaces — where planning, procurement, manufacturing, logistics, and engineering intersect — resolving the interdependencies that single-domain implementations miss
• Drive rapid experimentation from ambiguous business problem to working production system in days or weeks, grounded in deep knowledge of how supply chain and ERP transformations actually behave post-go-live
• Architect agentic solutions (agents, RAG, orchestration, multi-system workflow integration) that operate across the full enterprise stack: identity, data, governance, platform, and process layer
• Shape AI reinvention strategy with client CTO, CFO, and CISO — translating process and operating model complexity into fundable value architecture, ROI backlogs, and multi-year adoption roadmaps
• Define reusable reinvention blueprints and patterns — grounded in real deployment learnings — that scale across engagements and build the FDE practice

Skills

AI architecture

Cross-functional leadership

Problem solving

Executive communication

Strategic thinking

Education

Bachelor's degree or equivalent

Tools

SAP

Oracle

Kinaxis

O9

Blue Yonder

Ariba

Anthropic

OpenAI

Vertex AI

Job description

Accenture is seeking a senior AI/End-to-End Supply Chain & Engineering expert to partner with clients in Arlington, VA to design and deploy AI-enabled supply chain transformations. You will lead multi-domain AI programs, translate complex operating models into actionable AI architectures, and drive rapid experimentation to production.

The role requires 5+ years of engineering experience, 1+ year in agentic AI deployment, and 2+ years with major AI platforms, with a focus on end-to-end supply