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Accenture

Advises businesses and runs their technology

Forward Deployed Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Minimum 5 years of engineering experience with deep hands-on knowledge of enterprise supply chain management or enterprise resource planning platform transformations, including SAP, Oracle, Kinaxis, O9, Blue Yonder, or equivalent, and understanding of post-go-live issues.
  • Minimum 1 year designing and deploying agentic artificial intelligence solutions in production environments, including agents, orchestration, retrieval-augmented generation, and context engineering.
  • Minimum 2 years working with artificial intelligence platforms such as 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 process intersections, compounded friction, and how operating-model gaps amplify system limitations.
  • Bachelor's degree or equivalent (minimum 12 years) work experience. If an associate degree, a minimum of 6 years' work experience is required.

Responsibilities

  • Own the full arc from business case to production: understand the client's operating model, identify process friction and system interdependencies that block value, and build artificial intelligence solutions across enterprise resource planning, supply chain management platforms, manufacturing execution systems, and planning layers.
  • Lead cross-domain artificial intelligence deployments at the functional interfaces where planning, procurement, manufacturing, logistics, and engineering intersect, resolving interdependencies that single-domain implementations miss.
  • Drive rapid experimentation from ambiguous business problems to working production systems in days or weeks, grounded in knowledge of supply chain and enterprise resource planning transformations after go-live.
  • Architect agentic solutions—including agents, retrieval-augmented generation, orchestration, and multi-system workflow integration—that operate across the enterprise stack: identity, data, governance, platform, and process layers.
  • Shape artificial intelligence reinvention strategy with client chief technology, financial, and information security officers by translating process and operating-model complexity into fundable value architecture, return-on-investment backlogs, and multi-year adoption roadmaps.
  • Define reusable reinvention blueprints and patterns grounded in deployment learnings, scaling them across engagements and building the forward deployed engineering practice.
  • Travel for the role, with travel requirements varying up to 75%.

Desired Qualifications

  • Demonstrated ability to bridge strategy, operating-model design, and business-case development with executable artificial intelligence architecture.
  • Experience leading engineering teams through delivery in client-embedded environments, with accountability for commercial outcomes rather than only delivery milestones.
  • Credibility with chief technology, financial, and supply chain officers, communicating deployment risk, operating-model implications, and return on investment in their language.
  • Full enterprise artificial intelligence architecture experience across complex, multi-stakeholder environments.
  • Expertise or knowledge across at least two platforms.
  • Value architecture at program scale that identifies high-value use cases, quantifies return on investment, and aligns technical decisions to commercial outcomes.
  • Ability to shape reinvention blueprints and reusable patterns that scale across multiple client engagements.
  • Ability to lead rapid experimentation at pace, taking ambiguous problems to working production systems in days or weeks.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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