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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 in City of London 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 in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work at consultancies or have experience with enterprise-scale AI solutions. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio that highlights your past projects, especially those involving Python and LLMs. When you get the chance to chat with potential employers, share specific examples of how you've tackled challenges and delivered results.
✨Tip Number 3
Be ready for technical interviews! Brush up on your knowledge of AI architecture, MLOps, and the tools mentioned in the job description. Practising coding challenges and system design questions can give you the edge you need to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Principal AI Engineer role. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Principal AI Engineer - London (Hybrid) | Python, LLMs, AI Strategy in City of London
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 projects you've led.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your experience can help drive our clients' success. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include examples of enterprise-scale AI solutions you've designed or delivered, especially those involving Azure or AWS ecosystems, MLOps, and modern AI orchestration frameworks.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our innovative team!
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 ensure that AI solutions meet their business objectives. Prepare a few case studies where your technical decisions directly impacted client success, demonstrating your strategic thinking.
✨Prepare for Client-Facing Scenarios
As this role requires comfort in client-facing environments, practice articulating complex technical concepts in simple terms. You might be asked how you would explain AI strategies to non-technical stakeholders, so think about how to make your expertise accessible.