At a Glance
- Tasks: Lead the development of AI capabilities in a cutting-edge Finance platform.
- Company: Join a leading finance tech company focused on innovation and excellence.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on scalable AI solutions.
- Why this job: Be at the forefront of AI technology and make a significant impact in finance.
- Qualifications: 12+ years in software engineering with expertise in Java/Python and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
- 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 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.
Strong understanding of enterprise architecture, scalability, security, and operational excellence.
Preferred Skills Experience with Azure Open AI, Open AI, 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.
Artificial Intelligence Engineer employer: Infinity Quest
Infinity Quest is an exceptional employer that values innovation and collaboration, providing a dynamic work environment in Telford. Employees benefit from a strong focus on professional development, with ample opportunities for growth and advancement within large-scale programmes. The company fosters a supportive culture that encourages accountability and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
