Solution Architect

About my client

My client is building an AI work-execution platform for alternative investment firms and their portfolio companies, securely bringing together proprietary data, external sources and workflows. Backed by a global group of 1,800+ professionals with deep domain expertise, the team is small, senior and high-ownership, with direct access to the Executive Committee.

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 design

Lead 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 governance

Define 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 advisory

Ensure 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

Nice to have: private equity, investment or financial-services workflow experience; enterprise data-governance experience, including AI governance conversations with regulated buyers; AWS Solutions Architect (or comparable) certification; daily use of AI coding tools (Cursor, Claude Code or similar).

Education:

Bachelor's or master's degree in engineering, computer science or a related field, or equivalent experience.

What's on offer

Close collaboration with an Executive Committee with 20+ years' experience serving 400+ leading alternative investment clients

Competitive compensation

The chance to build something impactful for leading financial services firmsA supportive, collaborative environment in a central London office

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