At a Glance
- Tasks: Lead transformative AI strategies and develop advanced AI pipelines for ambitious clients.
- Company: Global leader in professional services with a focus on Generative AI.
- Benefits: Competitive salary, hybrid work model, and extensive benefits package.
- Other info: Join a dynamic team at the forefront of AI innovation.
- Why this job: Shape the future of AI while working with world-class clients and cutting-edge technology.
- Qualifications: 3+ years in Generative AI, experience with PyTorch and TensorFlow required.
The predicted salary is between 80000 - 100000 £ per year.
A global leader in professional services is expanding its AI Centre of Excellence as part of continued investment in its Generative AI capability. They are hiring an Agentic AI Architect to shape and deliver transformative AI and Generative AI strategies for some of the world's most ambitious clients, covering everything from research to deployment.
This is an opportunity to work at the forefront of enterprise AI, leading the design, development and secure deployment of advanced AI pipelines, from requirement gathering, data acquisition and model development through to evaluation and production. You will design and oversee state-of-the-art AI models, ensuring they are scalable, efficient and robust.
- Location: Hybrid in London, with travel to client sites
- Salary: £80,000 to £100,000 + Benefits
- Minimum of 3 years' experience focused on Generative AI / LLM-based systems.
- Must have led the end-to-end delivery of at least one production-grade Generative AI or LLM solution, from design through to live deployment at scale.
- Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph.
- Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline.
This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale, work with world-leading clients, and help build a centre of excellence at the cutting edge of the field.
AI Engineer employer: Lawrence Harvey Search & Selection
At Lawrence Harvey Search & Selection, we pride ourselves on being an excellent employer that values innovation and collaboration. Our remote working arrangement allows for flexibility while still fostering a strong team culture, and we offer ample opportunities for professional growth in the dynamic financial services sector. With occasional travel to Central London, you can enjoy the benefits of a vibrant city while contributing to meaningful projects that make a real impact.
Contact Details:
Lawrence Harvey Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Lawrence Harvey Search & Selection 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 Lawrence Harvey Search & Selection.
✨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 Lawrence Harvey Search & Selection.
✨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 Lawrence Harvey Search & Selection 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 AI Engineer
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 Lawrence Harvey Search & Selection.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lawrence Harvey Search & Selection 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 Lawrence Harvey Search & Selection
✨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 Lawrence Harvey Search & Selection 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.
