Forward Deployed Engineering Manager

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Arlington, VAMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXAtlanta, GARedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$94,400–$316,300 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $205k
$68k most similar roles pay here $343k

This role pays less than 53% of similar roles. Most pay $177,137–$240,675 — the shaded band above. At the midpoint, this role pays about $205k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 215 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 169 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Forward Deployed Engineering Manager

As a Forward Deployed Engineering Manager, you will join the End-to-End Supply Chain & Engineering team to lead cross-domain AI deployments where planning, procurement, manufacturing, logistics, and engineering intersect. You will own the full lifecycle from business case to production, identifying process frictions and building agentic solutions involving RAG, orchestration, and multi-system workflow integration. The role requires hands-on experience with enterprise SCM or ERP platforms such as SAP, Oracle, Kinaxis, O9, Blue Yonder, and Ariba, alongside proficiency in AI platforms like Anthropic, OpenAI, and Vertex AI. You will solve complex industrial problems by translating operating model complexities into fundable value architectures and multi-year adoption roadmaps. Your work focuses on resolving system interdependencies to improve operational efficiency and transparency across the enterprise stack while developing reusable reinvention blueprints for large-scale supply chain transformations.

What you'll do

  • Identify process friction and system interdependencies in client operating models to build targeted AI solutions.
  • Lead cross-domain AI deployments across procurement, manufacturing, logistics, and engineering functions.
  • Develop agentic AI solutions including RAG and multi-system workflow integrations across the enterprise stack.
  • Translate complex operational requirements into fundable value architectures, ROI backlogs, and multi-year adoption roadmaps for executives.
  • Execute rapid experimentation to move from ambiguous business problems to production systems in days or weeks.
  • Create reusable reinvention blueprints and patterns based on deployment learnings to scale across the practice.

What we're looking for

  • Minimum 5 years of engineering experience with deep hands-on knowledge of enterprise SCM or ERP platform transformations.
  • Minimum 1 year designing and deploying agentic AI solutions in production environments including agents, orchestration, and RAG.
  • Minimum 2 years working with AI platforms such as Anthropic, OpenAI, Vertex AI, or open source.
  • Deep design experience across cross-domain processes like Source-to-Pay, Plan-to-Produce, and Order-to-Cash.
  • Bachelor's degree required, or an associate degree with at least 6 years of work experience, or a minimum of 12 years of work experience.
  • Ability to lead engineering teams through delivery in client-embedded environments with accountability for commercial outcomes (preferred).
  • Credibility communicating deployment risk and ROI to C-suite executives such as CTO, CFO, and CSCO (preferred).
  • Willingness to travel up to 75% of the time.

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