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Accenture

Forward Deployed AI Engineering Manager | Supply Chain

Saint Louis, MO, United States

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Job details

Experience: + Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years' work experience)
Posting language: English

Original job description

Summary

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 at scale. Through 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 accenture.com .

In End-to-End Supply Chain & Engineering we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise are supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our End-to-End Supply Chain & Engineering services help architect and accelerate all aspects of an organization's total enterprise reinvention.End-to-End Supply Chain & Engineering Strategy. We embed innovation, intelligence, and sustainability in the way the world makes and moves things while optimizing resources, keeping people safe, and ensuring a sustainable future for all.

We enable leaders to act quickly and confidently as they pivot their supply chain to the future. We believe that smart, sustainable, connected digital products and assets are revolutionizing industrial experiences with new levels of operational efficiency, transparency & traceability, tangible impact on sustainability, and more sources of revenue.

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 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)

Bonus points if:

+ Demonstrated ability to bridge strategy, operating model design, and business case development with executable AI architecture

+ Experience leading engineering teams through delivery in client-embedded environments, with accountability for commercial outcomes - not just delivery milestones

+ Credibility with CTO, CFO, and CSCO: you communicate deployment risk, operating model implications, and ROI in their language

+ Full enterprise AI architecture across complex multi-stakeholder environments

+ Multi-platform expertise/knowledge (at least two platforms)

+ Value architecture at program scale identifies high-value use cases, quantifies ROI, aligns technical decisions to commercial outcomes

+ Shapes reinvention blueprints and reusable patterns that scale across multiple client engagements

+ Leads rapid experimentation at pace: ambiguous problems to working production system in days or weeks"

+ "High-level Thinking: Shapes reinvention strategy across client engagements, not just delivery execution. Identifies high-value use cases at program scale. Builds ROI backlogs and AI adoption roadmaps that align to commercial outcomes.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 11/19/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision,...

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More about this job

Skills

Supply chain management
Cybersecurity
Root cause analysis
Communication skills
ERP
SAP
Oracle
Infor SCM
SAP Ariba
MES
Procurement
Logistics
Workflow
Develop business case

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