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- Tasks: Lead the design and delivery of enterprise-scale AI solutions for major clients.
- Company: Join a growing AI consultancy with a focus on innovation.
- Benefits: Competitive salary up to £135k, hybrid work, and bonuses.
- Other info: Mentorship opportunities and a dynamic work environment await you.
- Why this job: Shape the future of AI while working with cutting-edge technologies.
- Qualifications: Proven experience in AI architecture and strong Python skills required.
The predicted salary is between 135000 - 135000 £ per year.
We’re partnered with a growing AI consultancy looking for a Principal AI Engineer to lead the design and delivery of enterprise-scale AI solutions for major clients. This role combines deep technical expertise, architectural leadership, and strategic client engagement, with a focus on building scalable, production-grade AI systems rather than experimental POCs.
Key Responsibilities
- Define AI architecture and technical strategy across enterprise engagements
- Lead the delivery of AI-powered applications using LLMs and agent frameworks
- Drive adoption of tools such as Autogen, LangGraph, and modern AI orchestration frameworks
- Oversee AI governance, observability, scalability, and best engineering practices
- Partner with senior client stakeholders to align AI solutions with business goals
- Mentor Lead AI Engineers and help shape engineering standards across teams
- Contribute to the evolution of internal AI platforms and delivery methodologies
Required Experience
- Proven experience architecting and deploying enterprise-scale AI/LLM systems
- Strong Python engineering background
- Expertise with Azure or AWS AI ecosystems
- Experience with MLOps, Kubernetes, Docker, vector databases, and AI observability tooling
- Strong understanding of agentic AI frameworks and production AI infrastructure
- Comfortable operating in client-facing and strategic consulting environments
London hybrid working (Tue–Thu onsite) Up to £135k + bonus
Principal AI Engineer - London (Hybrid) | Python, LLMs, AI Strategy employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer - London (Hybrid) | Python, LLMs, AI Strategy
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage with industry professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Principal AI Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects, especially those involving Python and LLMs. We want to see your hands-on experience and how you’ve tackled real-world problems, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you’ll need to communicate effectively with clients. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role and showcasing your relevant experience.
We think you need these skills to ace Principal AI Engineer - London (Hybrid) | Python, LLMs, AI Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal AI Engineer role. Highlight your expertise in Python, LLMs, and any relevant AI architecture you've worked on. We want to see how you can lead and deliver enterprise-scale AI solutions!
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 your background makes you the perfect fit for this role. Don’t forget to mention your experience with client engagement and strategic consulting – we love that stuff!
Showcase Your Projects: If you've worked on any impressive AI projects, make sure to include them in your application. Whether it's deploying LLM systems or using modern AI orchestration frameworks, we want to see your hands-on experience and how you’ve driven adoption of innovative tools.
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 us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the AI tools mentioned in the job description, like LLMs and modern orchestration frameworks. Brush up on your experience with Azure or AWS ecosystems, as you'll likely be asked to discuss how you've used these in past projects.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, prepare examples of how you've successfully guided others in previous positions. Think about specific instances where you’ve shaped engineering standards or driven project success through effective leadership.
✨Align AI Solutions with Business Goals
Be ready to discuss how you’ve partnered with clients to align technical solutions with their business objectives. Prepare a few case studies that highlight your strategic thinking and ability to translate complex AI concepts into tangible business outcomes.
✨Prepare for Client-Facing Scenarios
Given the client-facing nature of this role, practice articulating your ideas clearly and confidently. You might be asked to role-play a client meeting, so think about how you would present a technical solution to a non-technical audience.