Forward Deployed Engineering Manager
Role Overview
The manager builds and deploys AI solutions for clients across enterprise supply chain and engineering systems.
The work spans business case development, experimentation, production implementation, and reusable practice patterns.
Key Skills for This Role
Full Job Posting
Role overview
The manager builds and deploys AI solutions for clients across enterprise supply chain and engineering systems.
The work spans business case development, experimentation, production implementation, and reusable practice patterns.
Responsibilities
- Own work from business case through production by diagnosing operating models, process friction, and system interdependencies.
- Lead cross-domain deployments where planning, procurement, manufacturing, logistics, and engineering intersect.
- Drive rapid experimentation from ambiguous problems to working production systems in days or weeks.
- Architect agentic solutions with agents, RAG, orchestration, and multi-system workflows across enterprise layers.
- Shape AI reinvention strategy with client CTO, CFO, and CISO stakeholders.
- Develop fundable value architecture, ROI backlogs, and multi-year adoption roadmaps.
- Define reusable deployment blueprints and patterns and help build the FDE practice.
Required experience
- At least 5 years of engineering experience and deep hands-on enterprise SCM or ERP transformation knowledge.
- At least 1 year designing and deploying production agentic AI solutions, including agents, orchestration, RAG, and context engineering.
- At least 2 years working with AI platforms, including multi-provider pipeline architecture.
- Deep design experience in one or more cross-domain processes such as Idea to Retire, Source-to-Pay, Plan-to-Produce, Order-to-Cash, or Plan-to-Deliver.
- Bachelor’s degree or equivalent with 12 years of experience; associate degree requires at least 6 years of experience.
Bonus qualifications
- Ability to bridge strategy, operating model design, business cases, and executable AI architecture.
- Client-embedded engineering team leadership with accountability for commercial outcomes.
- Credibility communicating deployment risk, operating model implications, and ROI to CTO, CFO, and CSCO stakeholders.
- Experience across multiple platforms, enterprise AI architecture, value architecture, reusable patterns, or rapid experimentation is a bonus.
Travel
- Travel is required and may reach 75%.
Compensation
- Annual salary ranges vary by location; the listed ranges span $80,400 to $316,300.
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