Qadinc
AI Solutions Architect
Chicago, IL, United States
Sponsorship not specified$150k-$185kDetected 1 day ago
AWSLLMsRAGAgentic AISupply ChainProcurementERPLeadership
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- We value diversity and strive for an inclusive environment where everyone feels empowered to contribute to our success.
- The AI Solutions Architect is a senior, customer-facing role at the front of our delivery motion.
- This is not a slideware role, nor is it a hand-off role.
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.
- 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).
- 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.
- Strong working understanding of modern AI agents, including LLMs, tool/function calling, RAG, autonomy, and human-in-the-loop design patterns.
- Hands-on experience building/deploying agentic systems (prompt engineering, orchestration, evals).
Requirements
- 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).
- In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed.
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).
- Familiarity with AWS cloud deployment, APIs, and enterprise data integration patterns.
- Strongly Preferred & Nice-to-Have:
Compensation
- $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.
Benefits
- QAD Redzone helps to enable QAD's vision for the Adaptive Enterprise.
Company info
- We are a virtual-first company, enabling our team to work primarily from home, while fostering a collaborative culture focused on growth, innovation, and well-being.
This listing is sourced directly from Qadinc's careers page and normalized into a canonical job model.