At a Glance
- Tasks: Lead the design and development of innovative AI applications in a dynamic team.
- Company: Join a global financial services leader shaping the future of Generative AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with top engineers and AI experts in a fast-paced environment.
- Why this job: Make a real impact on enterprise-scale AI products and strategies.
- Qualifications: Strong Python skills and experience with Large Language Models in regulated environments.
Location: London or Knutsford (Hybrid)
We are working with a global financial services who are looking for an experienced Lead Engineer to join a high-profile Generative AI feature team developing AI-powered applications used daily by thousands of colleagues across the organisation. This is an opportunity to play a key role in shaping the firms Generative AI strategy while leading the design, development, and deployment of innovative AI solutions within a highly regulated enterprise environment.
What You'll Be Doing
- Leading the design and development of production-grade AI applications.
- Acting as a Subject Matter Expert (SME) for Generative AI technologies.
- Working closely with product, engineering, and business stakeholders to deliver scalable solutions.
- Evaluating and optimising Large Language Models (LLMs) and prompts.
- Supporting cloud-native deployments and DevOps initiatives.
Essential Skills
- Strong Python development experience.
- Experience building applications using Large Language Models (LLMs), delivering AI solutions within regulated environments.
- Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch.
- Experience with prompt engineering and LLM evaluation.
- Strong stakeholder management and communication skills.
Why Join?
- Work on enterprise-scale AI products.
- Influence Generative AI strategy within a leading global financial institution.
- Collaborate with some of the industry's leading engineers and AI practitioners.
- Deliver solutions that create measurable impact across the organisation.
If you're passionate about AI, cloud engineering, and leading technical innovation at scale, we'd love to hear from you.
Lead Engineer employer: Harvey Nash
Join a leading global financial services firm as a Lead Engineer in London or Knutsford, where you'll have the opportunity to shape the Generative AI strategy and work on enterprise-scale AI products that impact thousands of colleagues daily. With a strong focus on innovation, collaboration, and professional growth, this hybrid role offers a dynamic work culture and the chance to collaborate with top industry engineers while delivering cutting-edge AI solutions in a highly regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and AWS services. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, AWS, and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Generative AI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles, especially in regulated environments. We’re looking for someone who can lead and innovate, so let us know how you’ve done that before!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Harvey Nash
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI. Be prepared to discuss your experience with Large Language Models (LLMs) and how you've applied them in previous projects. This will show that you're not just familiar with the tech, but that you can lead discussions around it.
✨Showcase Your Python Skills
Since strong Python development experience is essential, be ready to talk about specific projects where you've used Python to build applications. If possible, bring examples of your code or projects that demonstrate your expertise, especially in regulated environments.
✨Familiarise Yourself with AWS Tools
Get comfortable with AWS services like Bedrock, Lambda, and S3. Be prepared to explain how you've used these tools in past roles, particularly in cloud-native deployments. This will help you stand out as someone who can hit the ground running.
✨Communicate Effectively with Stakeholders
Strong stakeholder management and communication skills are key for this role. Think of examples where you've successfully collaborated with product and engineering teams. Practice articulating your thoughts clearly, as this will demonstrate your ability to lead and influence within a team.
