Principal AI Engineer - Agentic Systems - FinTech

London Source: WhatJobs

£120,000–£180,000

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