Artificial Intelligence Engineer
2 days ago
Sheffield
Lead AI Platform Engineer \n Experience: 12+ Years \n Role Overview \n 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. \n Key Responsibilities \n\n • Lead the implementation of AI-enabled applications and platform capabilities.\n, • Establish reusable patterns, frameworks, and best practices for AI engineering.\n, • Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments.\n, • Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions.\n, • Define standards for AI observability, governance, security, and performance.\n, • Mentor engineers and provide technical leadership across AI development initiatives.\n, • Contribute hands-on to solution design, development, code reviews, and production deployment.\n\n Required Skills \n\n • 12+ years of software engineering experience, with strong expertise in Java and/or Python.\n, • Proven experience building cloud-native applications on Azure, AWS, or GCP.\n, • Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices.\n, • Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions.\n, • Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.\n, • Strong understanding of enterprise architecture, scalability, security, and operational excellence.\n\n Preferred Skills \n\n • Experience with Azure OpenAI, OpenAI, Anthropic, Gemini, or similar AI platforms.\n, • Exposure to vector databases, knowledge retrieval, and AI observability platforms.\n, • Banking, Financial Services, or Treasury domain experience.\n, • Experience establishing AI engineering standards across product teams.\n\n Candidate Profile \n\n • Hands-on technical leader with a strong engineering-first mindset.\n, • Comfortable working within an established product roadmap and architecture.\n, • Able to influence, mentor, and guide engineering teams without a consulting-led approach.\n, • Strong communication, collaboration, and problem-solving skills.\n, • Passionate about building production-grade AI solutions at enterprise scale.\n\n