Principal AI Engineer - Agentic Systems - FinTech

Rothstein Recruitment; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Rothstein Recruitment seeks a Principal AI Engineer for an agentic FinTech platform. You will own architecture, governance, and the operational framework for AI-enabled agent systems across a greenfield platform.

You will define standards, tooling, and safety mechanisms to scale AI capabilities securely within a regulated enterprise environment, collaborating with senior stakeholders to shape the technical roadmap.

Qualifications

• 8+ years of software engineering, ML, or AI-focused experience.
• Experience in FinTech, Banking, Payments or regulated sectors.
• Exposure to agent orchestration frameworks and model monitoring.

Responsibilities

• Design platform architecture for intelligent agent deployment and lifecycle management.
• Establish governance, permissions, execution boundaries, and autonomy controls.
• Build observability and evaluation mechanisms for performance and cost.

Skills

Python

Cloud-native

LLM ecosystems

Agent orchestration

Security & compliance

Distributed systems

Stakeholder influence

Job description

Principal AI Engineer - Agentic Platform - FinTech

Excellent opportunity opens for a Principal 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