Lead AI Engineer

Zohorecruit; Sheffield; On-site; GBP 90,000 - 150,000; Full time

Job summary

Zohorecruit in Sheffield, United Kingdom seeks a highly experienced Lead AIPlatform Engineer to drive the AI capabilities within a Finance AI platform. This hands-on technical leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams.

You will combine cloud-native engineering with practical experience integrating GenAI, LLM, RAG, and Agentic AI solutions into enterprise platforms, overseeing design, security, observability, and production

Qualifications

• 12+ years of software engineering experience with Java and/or Python.
• Experience building cloud-native applications on Azure/AWS/GCP.
• Strong knowledge of Kubernetes, Microservices, APIs, and DevOps practices.
• Hands-on experience with LLM integration and Agentic AI solutions.

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 in enterprise environments.
• Collaborate with architects to ensure scalable, secure, and maintainable solutions.
• Define standards for AI observability, governance, security, and performance.
• Mentor engineers and provide technical leadership across AI initiatives.
• Contribute hands-on to solution design, development, code reviews, and production deployment.

Skills

Java

Python

AI platform leadership

Mentoring

Tools

Azure

AWS

GCP

Kubernetes

Microservices

APIs

Event-Driven Architecture

DevOps

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Job description

Sheffield, United Kingdom | Posted on 07/28/2026

We are seeking a highly experienced Lead AIPlatform Engineer to drive the engineering and implementation of AIcapabilities within a Finance AI platform. This is a hands-on technicalleadership role focused on establishing scalable AI engineering patterns,accelerating delivery, and mentoring development teams. The ideal candidatewill combine strong cloud-native engineering expertise with practicalexperience building and integrating GenAI and Agentic AI solutions intoenterprise platforms.

Key Responsibilities

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

Required Skills

• 12+ years of software engineering experience, with strongexpertise 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, AIorchestration frameworks, and Agentic AI solutions.
  
• Experience with AI frameworks and tools such as LangChain,LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.