IT & Software

Solution Architect

Oscar

London · Greater London · United Kingdom

Overview

As a Solution Architect, you bridge client needs and platform capabilities to deploy the AI work-execution platform inside sophisticated investment firms. You lead technical discovery with clients and design integration architectures that span Java/Spring core and Python services, balancing enterprise-friendly trade-offs. This engineering-side role blends client engagement with hands-on debugging and guidance, ensuring trusted outcomes for client CTOs. You will work closely with cross-functional teams and contribute to repeatable patterns for future deployments. The role offers exposure to senior leadership and a tangible impact on how top-tier investors operate.

Pay / Benefits
  • competitive compensation
  • central London office
  • collaborative environment
Responsibilities
  • Lead discovery and translate requirements into integration architectures covering APIs, authentication, data flows and tenancy
  • Design end-to-end solutions combining core workflow services with the platform's AI capabilities
  • Produce architecture diagrams, non-functional requirements matrices and implementation roadmaps
  • Define how each client validates system working on their data, including acceptance criteria and accuracy targets
  • Set governance with clients on autonomy levels, approval workflows, audits and accountability
  • Advise on appropriate AI use and set expectations on limitations
  • Ensure designs meet multi-tenant isolation, auditability and observability standards with AWS/CI/CD patterns
  • Support pilots and production cutovers, identifying risks and mitigations (data residency, latency, model behavior)
  • Contribute to technical pre-sales and PoC scoping
  • Turn bespoke 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, able to read APIs and debug integrations
  • Experience scoping or deploying LLM-based capability with enterprise clients and measuring success
  • Excellent client-facing communication and stakeholder management
  • strong communication
  • stakeholder management
  • collaboration
  • REST
  • AWS
  • SaaS multi-tenancy

Reference: WJ-747_31038212

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