Adroit People Limited (UK)
Lead AI platform engieer
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Greetings
We are Hiring Lead AI Platform Engineer position in Sheffield, UK
Duration 6 months
3 days onsite per week mandatory
Lead AI Platform Engineer
Experience: 12+ Years
- Java and/or Python
- Cloud-native application development
- Kubernetes
- Microservices and APIs
- Event-driven architecture
- CI/CD and DevOps practices
Experience integrating AI capabilities into enterprise applications would be highly desirable, including areas such as LLM integration, RAG, AI orchestration or agent frameworks, but this should complement strong engineering capability rather than replace it.
We’re looking for engineers who are comfortable working as part of an existing product and engineering team, following our technical direction, engineering standards and delivery approach, while contributing ideas and challenging where appropriate. The emphasis is on building and engineering excellence
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.
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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.
- Strong understanding of enterprise architecture, scalability, security, and operational excellence.
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Preferred Skills
- Experience with Azure OpenAI, OpenAI, Anthropic, Gemini, or similar AI platforms.
- Exposure to vector databases, knowledge retrieval, and AI observability platforms.
- Banking, Financial Services, or Treasury domain experience.
- Experience establishing AI engineering standards across product teams.
Candidate Profile
- Hands-on technical leader with a strong engineering-first mindset.
- Comfortable working within an established product roadmap and architecture.
- Able to influence, mentor, and guide engineering teams without a consulting-led approach.
- Strong communication, collaboration, and problem-solving skills.
- Passionate about building production-grade AI solutions at enterprise scale.
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