Solution Architect / Solution Engineer

We are hiring a Solution Architect or Solution Engineer to build the layer that sits between our product and our customers — the Reference Solutions, methodology, and accelerators that turn every Forward-Deployed engagement from a custom build into a templatised starting point.

If a Forward-Deployed Engineer can ship a customer in six weeks today, your job is to make the next deployment ship in three — by codifying the patterns, agents, and methodology that recur across engagements. You are the connective tissue between Product Engineering (the platform) and the Forward-Deployed pods (the customers).

You will:

• own one or more Reference Solutions — vertical (e.g., Banking onboarding, Healthcare triage) or horizontal (e.g., enterprise search, knowledge agent, document workflows)
• work in a remote and hybrid-friendly model — you do not need to sit in an office or at a customer site, but you are accountable for proactive checkpoints, clear async updates, and visible progress independent of supervision
• be the technical enabler for the Forward-Deployed Consultants and Engineers — your assets are their starting point on every new engagement
• be part of a small senior product team — direct collaboration with founders, Product Architects, and the Forward-Deployed pods
• shape what an AI-native solution architecture function looks like for enterprise customers — joining a small team to define the model, not inherit one
• be coached by founders, former IBM Technology Thought Leaders, and senior solution architects

• Designing and building Reference Solutions on top of our platform — full reference implementations including agent designs, prompts, evals, integrations, deployment patterns, and rollout playbooks
• Codifying our delivery methodology — discovery templates, scoping artefacts, success-metric blueprints — so every Forward-Deployed engagement starts from a shared baseline
• Partnering with Forward-Deployed Engineers and Consultants: pre-engagement architecture support, mid-engagement unblocking, post-engagement asset capture
• Curating and maintaining the Reference Solution library — keeping it current, searchable, and discoverable from inside live engagements
• Working with Product Architects to feed gaps and platform requests upstream — your team is the loudest internal customer of the platform
• Running internal enablement: brown-bag sessions, solution clinics, technical pairing with new Forward-Deployed hires
• Supporting Enterprise Sales on technical solutioning for new opportunities — reference architectures, demo flows, RFP responses, technical Q&A
• Architects also: lead solution-level technical reviews, mentor mid-level engineers, set the bar for what a "shippable Reference Solution" looks like

• Strong solutioning background — you have shipped enterprise solutions end-to-end, ideally a mix of platform / SaaS product work and customer-facing solution architecture
• Deep technical skill across at least two of the following:
  • Agentic AI design — LLM orchestration, RAG, tool use, evals, guardrails, observability
  • Backend / integration engineering in Python / Node.js / Go (FastAPI, NestJS, Loopback or similar)
  • Frontend / app engineering in React / Vue / Next.js
  • Cloud and integration patterns — API design, identity (OAuth / SSO / SAML), enterprise data sources, security
  • Industry workflows in banking, insurance, healthcare, construction, or public services
• Demonstrated pattern recognition — you spot the third repeated build and templatise it before someone has to do it a fourth time
• Comfortable in two modes: deep technical building, and clear customer-facing communication
• Strong written communication — your Reference Solution docs, methodology playbooks, and architecture diagrams are the artefacts the rest of the team builds against
• Proactive, low-supervision operator — you raise risks early, run your own checkpoints, and keep Sales, Product, and Forward-Deployed teams in the loop without being asked
• Experience working with or directing AI agents as collaborators (Claude, GPT, Cursor, or comparable agentic tools)
• Strong sense of humor, low ego, and a genuine team player

This role is hired at multiple seniority levels — we calibrate the title, scope, and compensation to your experience and demonstrated impact. The Architect title denotes the senior end of the track; the Engineer title denotes mid-level and below. All levels are full members of the product team — Associates are not "assistants".

• 5-day work week with flexible working hours
• Remote- and hybrid-friendly culture — no requirement to sit on customer site full-time, with structured proactive cadence to keep engagements healthy
• Flat company structure and working directly with founders and core members in a small senior team
• Pairing rotation: every deployment is staffed FDC + FDE — you always have a technical partner in the room
• Direct exposure to senior enterprise stakeholders from day one
• On-the-job training and coaching by certified leaders in Technology Consulting and Enterprise AI

FabriXAI is a team of experienced founders based in London, specializing in Enterprise Software, SaaS, and AI technologies. Our innovative solutions have empowered clients across diverse sectors, including banking, insurance, healthcare, construction, and public services. With teams located in the United Kingdom and Hong Kong, we are uniquely positioned to support regional enterprises and tech startups, promoting cross-sector API collaboration. Our expertise has been recognized in several prestigious tech accelerator programs, including the AWS HK GenAI Accelerator and Barclays Eagle Labs Product Growth Programme.