AI Solutions Architect
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Key Skills for This Role
Full Job Posting
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.
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.
Compensation Package
- Base Salary Range: £90,000 – £110,000 GBP 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.
About QAD and QAD Redzone
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises.
QAD Redzone helps to enable QAD’s vision for the Adaptive Enterprise. Labor productivity improvements directly impact efficiency. Productive and empowered employees increase the effective capacity of your plant and accelerate time to productivity for new employees giving manufacturers the agility to increase production beyond what was previously possible without having to invest in production equipment or new plants, and reduce the amount and impact of employee attrition. Empowered employees with a growth mindset take extreme ownership of challenges that impact their production goals, creating resilience in the face of disruption.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
#LI-Remote
About QAD
QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace , achieving measurable productivity, resilience, and growth in just 90 days.
QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.
About QAD, Inc.
QAD is a private cloud enterprise software provider serving manufacturers with ERP and supply-chain applications.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at QAD, Inc.
Software Engineer, Full Stack (Python & Golang backend + Frontend) - PUNE
Pune, IND
Senior Full Stack Software Engineer ( Strong backend - Python & Go + frontend)
Pune, IND
Software Engineer, Full Stack (Python & Golang backend + Frontend)
Pune, IND
Senior Principal Software Engineer – Full Stack Engineer
Pune, IND
Sr. Support Engineer, Technical
Pimpri-Chinchwad, IND
Software Engineer, Full Stack (Python & Golang backend + Frontend) - PUNE
Pune, IND
Senior Full Stack Software Engineer ( Strong backend - Python & Go + frontend)
Pune, IND
Software Engineer, Full Stack (Python & Golang backend + Frontend)
Pune, IND
Business Development Executive
Miami, USA
Senior Principal Software Engineer – Full Stack Engineer
Pune, IND
Manager, Engineering (AI & Agentic Platform)
Pune, IND
AI Sales Executive & Solutions Engineer
, USA