The role

As Solution Architect, you will bridge customer needs and platform capability, designing how the platform lands inside sophisticated investment firms. You will lead technical discovery with clients, design integration architectures across a Java/Spring core and Python services, and own the trade-offs that make enterprise deployments repeatable rather than bespoke.

This is an engineering-side role that spends roughly half its time with clients. You will not write production features, but you will read code, debug integrations with engineers, and be the person a client CTO trusts in the room.Key responsibilities

• Solution and integration designLead discovery workshops with enterprise clients and translate requirements into integration architectures covering APIs, auth, data flows and tenancy
• Design end-to-end solutions that combine core workflow services with the platform’s AI capability
• Produce architecture diagrams, NFR matrices (security, performance, compliance) and implementation roadmaps that engineering signs up to

• Evaluation and governanceDefine how each client will know the system is working on their data, including acceptance criteria and an accuracy bar agreed before go-live
• Set governance with clients, covering autonomy levels, approval workflows, audit trails and accountability
• Advise clients and internal teams on appropriate AI use and set honest expectations on limitations

• Delivery and advisoryEnsure designs respect multi-tenant isolation, auditability and observability standards, aligned with AWS and CI/CD patterns
• Support pilots and production cutovers, identifying risks such as data residency, latency and model behaviour, with mitigations that hold
• Contribute to technical pre-sales and PoC scoping
• Turn one-off solutions into repeatable patterns the next deployment can reuse

• Essential requirements5+ years in software or infrastructure roles, including 3+ years in client-facing solution, enterprise or technical architecture
• Strong grasp of REST, AWS, SaaS multi-tenancy and security fundamentals
• Hands-on familiarity with Python and/or Java, able to read APIs and debug integration issues with engineers
• Experience scoping or deploying LLM-based capability with enterprise clients, including how success was measured
• Excellent client-facing communication and stakeholder management
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