At a Glance
- Tasks: Lead the design and deployment of transformative AI strategies for ambitious global clients.
- Company: Global leader in professional services with a focus on innovative AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team at the forefront of enterprise AI with excellent career advancement opportunities.
- Why this job: Shape the future of Generative AI and make a real impact in a cutting-edge environment.
- Qualifications: 3+ years in Generative AI, experience with PyTorch and TensorFlow, strong software engineering background.
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
To be considered:
- 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.
To find out more, apply now.
AI Engineer in London employer: Lawrence Harvey
As a leading global digital health company based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive impactful change in healthcare. With a strong focus on professional development, we offer numerous growth opportunities and a supportive environment where your contributions are valued. Join us to be part of a transformative journey, working alongside senior leadership to shape data-driven strategies that enhance patient care and operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨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 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.
✨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.
✨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 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 in London
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.
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 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
✨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 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.
