In this Solution Architect role, you bridge client needs with platform capabilities to land the product inside sophisticated investment firms. You will lead technical discovery, design integration architectures across Java/Spring and Python services, and make propulsion decisions that enable repeatable enterprise deployments. This is an engineering-facing position that balances client engagement with hands-on code-reading and debugging alongside engineers. You’ll earn the trust of client CTOs while shaping how the platform scales across multi-tenant environments. Your work will sit at the intersection of AI-enabled workflows and secure, governance-driven deployments.
Pay / Benefits
competitive compensation
central London office
supportive, collaborative environment
exposure to Executive Committee
impactful work for leading financial services firms
Responsibilities
Lead discovery workshops with enterprise clients and translate requirements into integration architectures (APIs, auth, data flows, tenancy)
Design end-to-end solutions combining core workflow services with the platform's AI capabilities
Create architecture diagrams, non-functional requirement matrices, and implementation roadmaps aligned with engineering
Define client-specific success criteria, acceptance tests, and accuracy bars prior to go-live
Establish governance on autonomy levels, approval workflows, audit trails and accountability
Advise clients and internal teams on appropriate AI use and set expectations on limitations
Ensure multi-tenant isolation, auditability and observability aligned with AWS and CI/CD patterns
Support pilots and production cutovers, identifying risks (data residency, latency, model behavior) and mitigations
Contribute to technical pre-sales and PoC scoping
Turn one-off solutions into reusable patterns for future deployments
Key requirements
5+ years in software or infrastructure roles, including 3+ years in client-facing solution/enterprise architecture
Strong grasp of REST, AWS, SaaS multi-tenancy and security fundamentals
Hands-on familiarity with Python and/or Java; ability to read APIs and debug integrations with engineers
Experience scoping or deploying LLM-based capability with enterprise clients, including success measurement
Excellent client-facing communication and stakeholder management
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