Staff AI Engineer - AI Agents - FinTech

Rothstein Recruitment; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Rothstein Recruitment seeks a Staff AI Engineer to own the architecture, governance, and operational framework behind advanced AI and agent-based systems within a FinTech context. You will design scalable platforms and standards for deployment, monitoring, and safety across enterprise environments.

You will collaborate with senior stakeholders to embed AI as a foundational capability, ensuring security, compliance, and reliability while shaping the technical roadmap for AI initiatives.

Qualifications

• 8+ years of software engineering or AI-focused experience.
• Experience in FinTech, banking, payments or other regulated sectors.
• Exposure to agent orchestration frameworks, evaluation platforms, and model monitoring solutions.

Responsibilities

• Design the platform architecture that supports intelligent agent deployment and lifecycle management.
• Establish governance frameworks, permissions, execution boundaries, and autonomy for agents.
• Build observability and evaluation mechanisms to measure performance, reliability, accuracy, and cost.
• Drive decisions around AI infrastructure, orchestration, and platform capabilities.
• Collaborate with software engineers, architects, and product teams on platform-wide design initiatives.
• Implement safeguards and governance measures for regulated environments.
• Ensure AI systems are scalable, secure, and production-ready.
• Contribute to the long-term AI strategy and technical roadmap.

Skills

Software engineering

Machine learning

AI systems

Python

Cloud-native

Distributed systems

Agent orchestration

Model monitoring

Governance

Job description

Excellent opportunity opens for a Staff AI Engineer to join a growing FinTech and take ownership of the architecture, governance, and operational framework behind advanced AI and agent-based systems. This is a unique opportunity to influence the technical direction of a greenfield platform where AI is being embedded as a foundational capability rather than an add-on feature. This role sits at the intersection of AI engineering, distributed systems, platform architecture, and governance.

You'll play a leading role in defining how intelligent agents are created, managed, monitored, and safely deployed within a complex enterprise environment. Working alongside senior product and engineering stakeholders, you will help establish the technical standards, tooling, and operational frameworks that enable AI capabilities to scale securely and reliably.

Main Responsibilities

• Designing the platform architecture that supports intelligent agent deployment and lifecycle management
• Establishing frameworks for agent permissions, controls, execution boundaries, and decision-making autonomy
• Building observability and evaluation mechanisms to measure performance, reliability, accuracy, and operational cost
• Driving technical decisions around AI infrastructure, orchestration, and platform capabilities
• Collaborating closely with software engineers, architects, and product teams on platform-wide design initiatives
• Implementing safeguards and governance measures suitable for regulated environments
• Ensuring AI systems remain scalable, resilient, secure, and production ready
• Contributing to the longer-term AI strategy and technical roadmap

Key Requirements

• 8+ years of software engineering, machine learning, or AI-focused experience
• Experience within FinTech, Banking, Payments or other highly regulated sectors
• Exposure to agent orchestration frameworks, evaluation platforms, and model monitoring solutions
• Experience building internal AI platforms or enterprise AI infrastructure
• Strong background designing autonomous or semi-autonomous agent systems
• Experience creating governance frameworks, approval workflows, operational controls, and oversight mechanisms
• Deep knowledge of LLM ecosystems, orchestration frameworks, and AI tooling
• Strong software engineering skills, ideally with Python and cloud-native architectures
• Experience working with distributed platforms, APIs, microservices, and event-driven systems
• Understanding of security, compliance, and risk considerations within complex enterprise environments
• Familiarity with cloud environments such as AWS, Azure, or Google Cloud
• Ability to influence technical direction and work effectively across senior stakeholder groups

AI Engineer Platform Agent Systems FinTech LLM ecosystems AI Platforms Enterprise AI Infrastructure Agent Orchestration Frameworks Python