At a Glance
- Tasks: Lead the design and development of innovative AI applications in a dynamic team.
- Company: Join a leading global financial services firm 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 influence strategy.
- Qualifications: Strong Python skills and experience with Large Language Models in regulated environments.
The predicted salary is between 80000 - 100000 £ per year.
Location: London or Knutsford (Hybrid)
We are working with a global financial services company 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 firm's 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 in Slough employer: Harvey Nash
Join a leading global financial services firm that champions innovation and collaboration, offering a dynamic work culture where your contributions directly shape the future of Generative AI. With hybrid working options in London or Knutsford, you'll enjoy a supportive environment that prioritises employee growth through continuous learning and development opportunities, while working alongside top-tier professionals in the industry. This role not only allows you to influence cutting-edge AI strategies but also provides the chance to make a significant impact on enterprise-scale applications used by thousands.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer in Slough
✨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 and think about how you can showcase your stakeholder management skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Lead Engineer in Slough
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 of Lead Engineer in Generative AI, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our Generative AI strategy. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI applications or have experience with prompt engineering, make sure to mention those! We’re keen to see examples of your work that demonstrate your expertise and creativity in this field.
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 shows you’re serious about joining our team!
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 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 also lead discussions around it.
✨Showcase Your Python Prowess
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 to demonstrate your skills. This will help you stand out as a candidate who can hit the ground running.
✨Familiarise Yourself with AWS Tools
Get comfortable with AWS services like Bedrock, Lambda, and S3 before the interview. Be prepared to discuss how you've used these tools in past roles, especially in cloud-native deployments. This knowledge will show that you can effectively support DevOps initiatives within the organisation.
✨Communicate Like a Pro
Strong stakeholder management and communication skills are key for this role. Practice articulating your thoughts clearly and concisely. Think about how you can explain complex technical concepts to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between teams.
