At a Glance
- Tasks: Lead the development of AI capabilities in a cutting-edge Finance platform.
- Company: Join a forward-thinking finance tech company focused on innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a collaborative team environment.
- Why this job: Be at the forefront of AI technology and shape the future of finance.
- Qualifications: 12+ years in software engineering with expertise in Java/Python and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
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 Gen AI 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 Dev Ops practices.
- Hands‑on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions.
- Experience with AI frameworks and tools such as Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, Crew AI, or equivalent.
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Lead AI Engineer in Sheffield employer: Test Triangle Limited
Join a forward-thinking company that prioritises innovation and excellence in the realm of AI-driven software development. As an SDLC AI Engineer, you'll thrive in a collaborative environment that fosters professional growth and encourages the exploration of cutting-edge technologies. With a commitment to rigorous engineering standards and a culture that values strategic partnerships across teams, this role offers a unique opportunity to shape the future of intelligent solutions within a dynamic and supportive workplace.
