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Forward Deployed Engineering Manager

Job in Carmel, Hamilton County, Indiana, 46033, USA
Listing for: Accenture
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Consultant, Change Management, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 316000 USD Yearly USD 80000.00 316000.00 YEAR
Job Description & How to Apply Below
We are:

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world.

We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes ough our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology.

We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at

You are:

A skillful advisor. You know how to make the supply chain work for clients, society, and our planet – ensuring input products and services are received responsibly without interruption. And, what’s more - you’ve got the real-life experience and analytical know-how to reduce complexity, optimize risk exposure/resiliency, and increase long-term profitability. You have energy and drive, along with personal resilience, a passion for serving clients, and a love of continual learning.

You have a flair for breaking down challenges into logical issues and constructing clear reasoning and root-cause analysis — an aptitude you use to solve problems. You have both communication and people skills, and as a team leader, you’re a natural at appreciating diverse perspectives and bringing out the best in teams.

The work:
  • 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

Travel Requirements:
  • Travel is required for this role and could vary up to 75%
Here’s what you need:
  • 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…

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