Enterprise AI Architect | London (Hybrid)We’re partnering exclusively with a globally recognised, tier‑one asset management firm on one of the most compelling architecture briefs we’ve seen this year.
This isn’t a build-and-maintain role. This is a define-and-shape role.
The firm is at a genuine inflection point with AI – and they’re hiring a dedicated Enterprise AI Architect to sit within the Enterprise Architecture function, working directly alongside the Chief Architect to design and govern AI adoption across a complex, global institution.
What you’ll be doing:
Owning the firm’s Enterprise AI Architecture end‑to‑end, model infrastructure, orchestration layers, data pipelines, governance controls
Designing reference architectures for agentic AI and multi-agent workflows (MCP, LangChain, AutoGen and equivalents)
Embedding AI into the core data and content platform via RAG, vector databases, and proprietary data unlocking
Building and operationalising the AI governance framework- model risk, explainability, bias monitoring, regulatory compliance
Translating front‑to‑back investment management use cases into concrete AI architectural blueprints
Scanning frontier AI developments and advising senior leadership on strategic betsGuiding Architecture Review Board (ARB) decisions and producing exec‑grade artefacts
What we’re looking for:
10+ years in technology architecture, with 3–5 years specifically in AI/ML architecture within large enterprise environments
Hands‑on command of the modern AI stack: LLM APIs, RAG, vector DBs, embedding pipelines, agent orchestration
Practical exposure to agentic AI and MCP-based tool‑use frameworks
Strong enterprise data platform experience (Snowflake, Databricks or similar)
AWS cloud‑native architecture knowledge, including Bedrock and relevant AI/ML services
Ability to produce high-quality architecture artefacts and communicate complex ideas to non‑technical stakeholders
Financial services experience is a strong plus – particularly asset management, investment banking or fintech
Location & Working Pattern:London‑based | Hybrid (up to 3 days WFH per week)
This is a rare opportunity – genuine strategic influence, executive visibility, and the chance to shape how a world‑class investment firm deploys AI from the ground up.
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