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- Tasks: Design and optimise AI solutions in a dynamic enterprise environment.
- Company: Join a cutting-edge programme with a focus on advanced AI technologies.
- Benefits: Competitive day rate, hybrid working, and fast-paced interview process.
- Other info: Immediate hiring with excellent career growth opportunities.
- Why this job: Lead innovative AI projects and make a real impact in tech.
- Qualifications: 5+ years in software engineering with strong AI expertise.
We are seeking a highly experienced Senior AI Engineer to join a cutting-edge programme delivering advanced AI and data-driven solutions within a complex enterprise environment.
This is a hands-on engineering role suited to someone who has operated at senior level within large organisations and is comfortable leading by example in high-performing technical teams.
Key Responsibilities- Design, build and optimise AI-powered solutions within enterprise-scale environments
- Develop and deploy scalable AI services using containerised architectures and Kubernetes
- Work with graph databases and retrieval systems to support advanced AI use cases
- Build and maintain CI/CD pipelines for rapid deployment and continuous improvement
- Optimise runtime performance, scalability and reliability of AI platforms
- Collaborate closely with engineering and data teams to deliver production-grade AI capabilities
- Minimum 5 years’ software engineering experience within large-scale enterprise environments
- Strong hands-on AI engineering expertise
- Commercial experience with:
- Python
- PostgreSQL
- JSON
- Kubernetes
- CI/CD pipelines
- Containerisation technologies
- Graph databases
- Experience with Retrieval-Augmented Generation (RAG)
- Exposure to Microsoft Graph Retrieval or similar retrieval frameworks
- Experience solving optimisation problems using mathematical solvers
- Exposure to distributed AI systems and enterprise-scale GenAI platforms
- Prior experience working in security-conscious or regulated environments
- Hybrid working – 3 days per week onsite in Farnborough
- Fast-moving interview process (2 stages)
- Immediate hiring requirement with onboarding targeted by mid-June
- Successful applicants will be required to be security cleared prior to appointment
If this opportunity is of interest, please apply with an up-to-date copy of your CV or email me directly.
Senior AI Engineer in Farnborough employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Farnborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden job opening that’s not even advertised.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We want you to showcase your hands-on experience with AI solutions and how you've tackled challenges in enterprise environments.
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure to highlight your relevant experience with Python, Kubernetes, and CI/CD pipelines. Show us why you’re the perfect fit for this Senior AI Engineer role.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind as they make their decision.
We think you need these skills to ace Senior AI Engineer in Farnborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI engineering and large-scale enterprise environments. We want to see how your skills align with the key responsibilities listed in the job description.
Showcase Relevant Projects: Include specific projects where you've designed or optimised AI solutions, especially using technologies like Kubernetes and graph databases. This helps us understand your hands-on experience and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Talent Locker
✨Know Your AI Stuff
Make sure you brush up on your AI engineering knowledge, especially around the technologies mentioned in the job description. Be ready to discuss your hands-on experience with Python, Kubernetes, and graph databases. Prepare examples of how you've designed and optimised AI solutions in previous roles.
✨Showcase Your Leadership Skills
Since this role involves leading high-performing technical teams, think of specific instances where you've taken charge or mentored others. Highlight your ability to collaborate closely with engineering and data teams, as well as any experience you have in a senior role within large organisations.
✨Prepare for Technical Questions
Expect some deep-dive technical questions during the interview. Brush up on CI/CD pipelines, containerisation technologies, and performance tuning. You might even be asked to solve optimisation problems on the spot, so practice explaining your thought process clearly.
✨Understand the Security Aspect
Given the requirement for security clearance, be prepared to discuss your experience in security-conscious environments. Familiarise yourself with any relevant regulations and be ready to explain how you've ensured compliance in your past projects.