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Staff AI Engineer
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Staff AI Engineer - Platform AI
London
4 days per week onsite
About the Company
Our client is a fast-growing B2B fintech building an intelligent banking platform designed for the next generation of financial services. The business is now expanding its AI capability and is looking for a senior engineer to help define how agentic AI is embedded into a complex financial technology platform from the ground up.
About the Role
We are looking for a Staff AI Engineer – Platform AI to provide technical leadership for the agentic layer of a major new platform. You will design how AI agents are authored, deployed, governed, executed, and observed within a complex system combining data, rules, workflows, and reporting. This is a hands-on architecture and engineering role. You will help define the control plane and runtime for production AI agents while ensuring autonomy, security, evaluation, and governance are designed into the platform from the outset.
What You'll Do
- Design the agentic control plane for a new platform, including how agents are authored, deployed, governed, executed, and observed.
- Define agent registries, authority boundaries, autonomy levels, and tool bindings.
- Design how agents integrate into versioned platform releases and the wider system architecture.
- Own the evaluation and analytics layer for agent behavior, including trace capture, hallucination detection, containment measurement, cost accounting, and regression testing.
- Contribute to system-level design and architecture decisions.
- Ensure AI systems are scalable, reliable, secure, and appropriate for a regulated financial environment.
- Work closely with core platform architecture and engineering teams to ensure agentic and deterministic capabilities operate as one cohesive system.
- Help establish the architectural foundations that will govern how agents operate across the platform as it scales.
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What We're Looking For
- Extensive AI/ML or software engineering experience.
- Demonstrable experience designing and shipping agentic systems into production, rather than only building prototypes.
- Experience architecting agent governance for high-stakes environments, including guardrails, autonomy levels, kill switches, and human-in-the-loop approval.
- Strong understanding of agent runtimes, including sandboxing, isolation, tool invocation, and multi-agent orchestration.
- Experience with Model Context Protocol (MCP) or similar approaches to agent/tool integration.
- Experience building or operating evaluation and analytics frameworks for agent behavior, including tracing, hallucination detection, and regression testing.
- Experience designing systems combining deterministic, rules-based processing with agent-based reasoning.
- Strong Python and SQL skills.
- Hands-on experience with LLM or agent frameworks such as LangChain or similar.
- Experience with AWS and container technologies such as Docker and Kubernetes.
- Understanding of identity and authorization for non-human or agent principals, including delegated authority.
- A data-driven approach to defining and measuring agent performance.
- Strong communication and collaboration skills.
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Additional Beneficial Experience
- Agent-to-agent or tool-integration protocols at platform scale.
- AI/LLM evaluation frameworks and fine-tuning techniques.
- Graduated autonomy models and agent-as-principal identity patterns.
- Prompt-injection, jailbreak defense, and other agent-specific security controls.
- Persona- or scenario-based simulation for testing agent behavior.
- Hybrid architectures where deterministic processing and LLM-based reasoning operate within the same system.
- Token, spend, or execution-budget governance for autonomous agents.
- Security and privacy within AI workflows, including encryption, anonymization, and compliance.
- Building an AI or agent capability from a blank sheet, spanning architecture, governance, and production delivery.
Please note: UK visa sponsorship is not available for this position. Candidates must already have the right to work in the UK without sponsorship.
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