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 working 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.
- #J-18808-Ljbffr
Lead AI Engineer in Sheffield employer: Test Triangle
As an IoT Data Architect at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a supportive work culture, and opportunities to work on cutting-edge projects in regulated sectors, ensuring your contributions are both meaningful and impactful. Join us to be part of a team that values your expertise and fosters professional development in a location known for its vibrant tech community.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Sheffield
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Test Triangle or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Test Triangle.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Test Triangle.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Test Triangle that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI Engineer in Sheffield
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Test Triangle.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Test Triangle and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Test Triangle
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Test Triangle uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
