Forward-Deployed AI Engineering Lead

Accenture PLC; Columbus (OH); On-site; USD 87,000 - 253,000; Full time

Job summary

Accenture’s End-to-End Supply Chain & Engineering practice seeks a seasoned engineer to lead AI-driven transformations across ERP and SCM platforms. You will collaborate with cross-functional teams to translate business requirements into production-ready AI solutions and scalable asset patterns.

You will design, deploy, and govern multi‑provider AI architectures, balancing technical feasibility with business value. Travel is required, and compensation aligns with market norms in major U.S.

Qualifications

• Minimum 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

Engineering experience

AI deployments

AI platforms

Cross-domain processes

Education

Bachelor's degree or equivalent

Tools

Anthropic

OpenAI

Vertex AI

Job description

Accenture’s End-to-End Supply Chain & Engineering practice seeks a seasoned engineer to lead AI-driven transformations across ERP and SCM platforms. You will collaborate with cross-functional teams to translate business requirements into production-ready AI solutions and scalable asset patterns.

You will design, deploy, and govern multi‑provider AI architectures, balancing technical feasibility with business value. Travel is required, and compensation aligns with market norms in major U.S.