Lead AI Engineer

Posted One Month Ago
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Sheffield, South Yorkshire, England, GBR
In-Office
Expert/Leader
Information Technology • Software • Consulting
The Role
Lead the hands-on implementation of AI platform capabilities, including LLM, RAG, and agentic AI integrations. Establish reusable engineering patterns, governance, observability, security, and performance standards for scalable cloud-native solutions. Collaborate with architects and engineering teams, contribute to solution design, development, code reviews, and production deployments, while mentoring engineers and providing technical leadership across AI initiatives.
Summary Generated by Built In

Lead AI Platform Engineer

Experience: 12+ Years

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.

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.


Skills Required

  • 12+ years of software engineering experience
  • Strong expertise in Java and/or Python
  • 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 LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent AI frameworks and tools
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The Company
104 Employees
Year Founded: 2012

What We Do

Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.

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