Lead AI Engineer

Test Triangle; Killamarsh; On-site; GBP 120,000 - 180,000; Full time

Job summary

Test Triangle is looking for a seasoned Lead AI Platform Engineer to direct AI capabilities within a Finance AI platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams.

The candidate combines cloud-native expertise with practical GenAI/Agentic AI experience across enterprise environments. Responsibilities include designing LLM/RAG/Agentic integrations, establishing governance and observability standards, and

Qualifications

• 12+ years of software engineering experience.
• Strong cloud-native experience on Azure, AWS or GCP.
• Knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture and DevOps.

Responsibilities

• Lead the implementation of AI-enabled applications and platform capabilities.
• Establish reusable patterns, frameworks, and best practices for AI engineering.
• Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments.
• Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions.
• Define standards for AI observability, governance, security, and performance.
• Mentor engineers and provide technical leadership across AI development initiatives.
• Contribute hands-on to solution design, development, code reviews, and production deployment.

Skills

Java

Python

Cloud-native

Azure

AWS

GCP

Kubernetes

Microservices

APIs

Event-Driven Architecture

DevOps

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Job description

Role Overview

We are seeking a highly experienced Lead AI Platform Engineer to drive the engineering and implementation of AI capabilities within a Finance AI platform. This is a hands-on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud-native engineering expertise with practical experience building and integrating GenAI and Agentic AI solutions into enterprise platforms.

Lead AI Platform Engineer

We are seeking a highly experienced Lead AI Platform Engineer to drive the engineering and implementation of AI capabilities within a Finance AI platform. This is a hands-on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud-native engineering expertise with practical experience building and integrating GenAI and Agentic AI solutions into enterprise platforms.

Experience: 12+ Years

Key Responsibilities

• Lead the implementation of AI-enabled applications and platform capabilities.
• Establish reusable patterns, frameworks, and best practices for AI engineering.
• Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments.
• Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions.
• Define standards for AI observability, governance, security, and performance.
• Mentor engineers and provide technical leadership across AI development initiatives.
• Contribute hands-on to solution design, development, code reviews, and production deployment.

Required Skills

• 12+ years of software engineering experience, with strong expertise in Java and/or Python.
• Proven experience building cloud-native applications on Azure, AWS, or GCP.
• Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices.
• Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions.
• Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.