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Forward Deployed Engineering Manager

Posted today

accentureScottsdale (AZ)

SENIORITY

Manager

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About the role

Overview: In this role, you guide AI-enabled reinvention of supply chains at scale, collaborating with C-suite across ERP and SCM domains. You drive AI-driven transformations from business case to production, shaping reusable blueprints and multi-platform architectures. You will lead cross-domain deployments at interfaces like planning, procurement, and manufacturing, and partner with client leaders to turn process complexity into measurable value. This is a chance to influence how enterprises operate and to deliver tangible ROI through smart, sustainable digital solutions. Compensation / Benefits medical, dental, vision, life, long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities: Own the full arc from business case to production for AI solutions across ERP/SCM/MES/planning layers Identify process friction and interdependencies to enable value realization Lead cross-domain AI deployments at functional interfaces (planning, procurement, manufacturing, logistics) Drive rapid experimentation from ambiguous problem to production system in days/weeks Architect agentic solutions (agents, RAG, orchestration, multi-system integration) across enterprise stack Shape reinvention strategy with client executives; translate complexity into ROI backlogs and adoption roadmaps Define reusable reinvention blueprints and patterns that scale across engagements
Key requirements: Minimum 5 years of engineering experience with deep hands-on knowledge of enterprise SCM or ERP transformations (SAP, Oracle, Kinaxis, O9, Blue Yonder, or equivalent) 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 across cross-domain processes (Idea to Retire, Source-to-Pay, Plan-to-Produce, Order-to-Cash, Plan-to-Deliver) and mapping operating model gaps Bachelor's degree or equivalent work experience Bonus: ability to bridge strategy, operating model design, and AI architecture; client-facing leadership; multi-platform expertise (at least two platforms) Strong communication and people skills Leadership and team-building in client-embedded environments Analytical problem-solving and root-cause analysis ERP and SCM platforms: SAP, Oracle, Kinaxis, O9, Blue Yonder, Ariba Agentic AI: agents, orchestration, RAG, context engineering AI platforms: Anthropic, OpenAI, Vertex AI; multi-provider pipelines

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