QAD

AI Solutions Architect

QAD$150K — $185K *
US-AnywhereRemote in Chicago, IL
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong understanding of modern AI concepts and human-in-the-loop design.
  • Experience leading workshops with enterprise-level stakeholders.
  • Proven ability to architect integrated solutions, especially across ERPs and enterprise data flows.
  • Technical proficiency to prototype and collaborate effectively with engineers.
  • Fluency in at least two major enterprise value chains, particularly P2P, O2C, S2C, or P2M.

Responsibilities

  • Lead agentic workshops with customer process owners to refine manufacturing processes.
  • Transform disorganized data into structured agentic workflows for implementation.
  • Design and oversee integration of technology solutions across various systems.
  • Collaborate closely with the offshore team throughout the development process.
  • Ensure successful deployment and continuous improvement through user testing and feedback.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan with company matching contributions.
  • Short-term and long-term disability insurance.
  • Life insurance and paid time off policies.
  • Parental leave and well-being programs.
Full Job Description
Job 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, and capture reusable components/accelerators to speed up future customer builds.


Qualifications

Must-Have 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).

Strongly Preferred & Nice-to-Have:
  • 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.


Additional Information

Compensation Package:
  • 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.

#LI-Remote

About QAD

QAD Inc. (Nasdaq: QADA) (Nasdaq: QADB) is a leading provider of next-generation manufacturing and supply chain solutions in the cloud. QAD solutions help customers in various industries rapidly adapt to change and innovate for competitive advantage. Founded in 1979, QAD has 29 offices globally, and its Channel Islands-based Precision Software subsidiary has 11 offices. Over 2,000 manufacturing companies have deployed QAD solutions including enterprise resource planning (ERP), demand and supply chain planning (DSCP), global trade and transportation execution (GTTE) and quality management system (QMS) to become an agile and effective enterprise. For more information, visit www.qad.com.
Learn more about QAD
Size
1,940 employees
Market Cap
$1.8 billion
Industry
Net Income
$3.2 million
Founded
1979
5 Year Trend
+2.1%
Revenue
$303.4 million
NASDAQ

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