AI Solutions Architect in London

Location: United Kingdom - Virtual Office

Compensation: GBP 90,000 - GBP 110,000 yearly

Company Description: QAD is building a world-class SaaS company, providing enterprise software solutions globally. 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. We value diversity and strive for an inclusive environment where everyone feels empowered to contribute to our success.

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. This role is based in the UK, ideally within commuting distance to London for collaboration and traveling to customer sites. Candidates must not require sponsorship.

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 contextualising 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: £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.

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.