AI Solutions Architect

Role Description

The AI Solutions Architect is a senior, customer-facing role at the front of our delivery motion. You are the person who sits with a customer, leads an agentic workshop on their core manufacturing processes, designs what an agent can and should do, and architects the solution. This is not a slideware role, nor is it a hand-off role. You own the solution end-to-end—from the first workshop through to a live, adopted production deployment—designing it, prototyping it, building it collaboratively with our offshore FDE team, and standing next to it at go-live.

Key Responsibilities:

• Run Agentic Process Workshops:
  • Lead structured workshops with customer process owners across core manufacturing value chains (Procure-to-Pay, Order-to-Cash, Source-to-Contract, and Plan-to-Manufacture).
  • Separate standard habits from true human-in-the-loop requirements and identify decision points an agent can own.
• Adapt Requirements into Agentic Flows:
  • Turn messy spreadsheets, email threads, and tribal knowledge into structured agentic flows.
  • Determine what the standard Persona Agent covers versus what needs custom engineering, and produce defensible work estimates up front.
• Architect Integrated Solutions:
  • Own the technical design of the deployment, including integration across ERP systems (QAD and non-QAD), PLM, EDI, email, and sourcing tools (e.g., Ariba, Coupa).
  • Perform light prototyping on-site to de-risk complex elements quickly.
• Build End-to-End with the FDE Team:
  • Stay embedded with the offshore FDE engineering team through the entire build phase.
  • Pair on hard technical problems, resolve ambiguity, adjust designs live, and maintain strong customer relationships through go-live.
• Drive Go-Live & Continuous Feedback:
  • Run UAT against pre-defined evaluation metrics.
  • Measure the attributed value delta post-launch.
  • Capture reusable components/accelerators to speed up future customer builds.

Qualifications

• Strong working understanding of modern AI agents, including LLMs, tool/function calling, RAG, autonomy, and human-in-the-loop design patterns.
• Proven experience leading customer-facing workshops or discovery sessions with enterprise stakeholders (e.g., Heads of Procurement or Supply Chain).
• Demonstrated ability to architect integrated enterprise solutions (ERPs, enterprise data flows, and contextualizing AI with customer data).
• Hands-on technical depth to prototype and pair credibly with software engineers (ability to read, shape, and unblock code).
• Working fluency in at least two major enterprise value chains: Procure-to-Pay (P2P), Order-to-Cash (O2C), Source-to-Contract (S2C), or Plan-to-Manufacture (P2M).

Requirements

• Background in software architecture, forward-deployed engineering, or implementation leadership (e.g., experience at firms like Palantir, Microsoft Frontier, OpenAI, Anthropic, or enterprise AI/ERP software vendors).
• Hands-on experience building/deploying agentic systems (prompt engineering, orchestration, evals).
• Familiarity with AWS cloud deployment, APIs, and enterprise data integration patterns.

Benefits

• Base Salary Range: $150,000 - $185,000 USD annually, bonus eligible.
• Placement within our pay range will vary based on knowledge, skills, experience, and market location variations as well as internal peer equity.
• U.S. benefits package includes medical, dental and vision coverage, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, paid-time off, parental leave, and well-being programs.