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AI Solutions Architect

🕒 July 30

đŸŒœ Illinois – Remote

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đŸ’” $150k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ’» Solutions Engineer

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Logo of QAD

QAD

1001 - 5000 employees

Founded 1979

🏭 Manufacturing

📩 Logistics

đŸœïž Food & Beverage

Manufacturing ‱ Logistics ‱ Food & Beverage

QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.

📋 Description

‱ 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.

🎯 Requirements

‱ 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).

đŸ–ïž Benefits

‱ 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 ‱ well-being programs

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