Enterprise Architect - AI

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 bets
• Guiding 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:

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.

• 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