At a Glance
- Tasks: Lead the design and deployment of cutting-edge GenAI solutions for a major bank.
- Company: Join a well-known bank's innovative team focused on AI applications.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to drive engineering excellence.
- Why this job: Shape the future of AI while influencing strategy at a VP level.
- Qualifications: Experience with LLMs, AWS, and delivering AI in complex environments.
We’re hiring a Lead AI Engineer (VP) to spearhead a GenAI feature team building production-grade AI applications used daily by thousands of employees with a well known bank. You'll be part of a dedicated department tasked with replacing the entire current stack with a new agentic stack.
What you’ll do:
- Lead design, build and deployment of GenAI solutions end-to-end
- Act as an SME shaping Generative AI strategy
- Mentor engineers and drive engineering excellence, security and quality
- Partner with senior stakeholders in a highly regulated environment
What we’re looking for:
- Hands-on experience with LLMs, prompt optimisation and evaluation
- AWS experience (Bedrock, Lambda, S3, CloudWatch, Lex)
- Experience delivering AI in regulated or complex organisations
- Bonus: DevOps, CI/CD, Terraform/CloudFormation, Docker, ECS/EKS
- Experience with LangGraph, Google ADK
It's a hybrid role based in London or Knutsford, whatever suits best from your location. If you want to build real AI products at scale and influence strategy at VP level, drop over your CV or contact Adam Whitehurst at Trust in Soda for more info.
Artificial Intelligence Engineer employer: Trust In SODA
As a Lead AI Engineer at this prestigious bank, you will join a forward-thinking team dedicated to innovation and excellence in the rapidly evolving field of Generative AI. The company fosters a collaborative work culture that prioritises employee growth through mentorship and hands-on experience with cutting-edge technologies, all while operating in a dynamic hybrid environment in London or Knutsford. With a commitment to engineering excellence and strategic influence at the VP level, this role offers a unique opportunity to make a significant impact within a highly regulated industry.
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We think this is how you could land Artificial Intelligence Engineer
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We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Trust In SODA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trust In SODA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trust In SODA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
