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- Tasks: Lead the development and scaling of a global AI platform with full autonomy.
- Company: A leading consultancy firm at the forefront of AI technology.
- Benefits: Opportunity for career progression to CTO and a chance to shape the future of AI.
- Other info: Dynamic role with a focus on modernisation and in-house engineering.
- Why this job: Be a key player in transforming AI capabilities and driving innovation.
- Qualifications: Experience with Neo4j, LLM/AI, Kafka, Java, and API-first architecture.
The predicted salary is between 80000 - 100000 £ per year.
A leading consultancy firm are seeking a highly skilled AI platform engineer to join the business and take ownership of a global, large scale, proprietary enterprise AI-first platform. The role offers complete autonomy over the build, architecture and scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM / AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java / JVM and API-first architecture. The position offers a rare modernisation opportunity, you'd be transitioning from a third-party engineering team to inhouse - assess, rationalise and rebuild governance, make decisions on build vs buy. The environment is real AI production and scaling.
Responsibilities
- Build a global engineering capability
- Stand up and shape offshore delivery model
- Hire and define the internal engineering bar
- Lead strategy, design and architecture
- Remain hands on with engineering throughout scaling
As the business positions technology and AI at the forefront of its growth this role could progress to a CTO seat for the right individual.
Head of Platform Engineering (AI) - Senior Technology Leader employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Platform Engineering (AI) - Senior Technology Leader
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Neo4j, LLMs, or Kafka. We want to see your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company’s AI initiatives and be ready to discuss how you’d approach building and scaling their platform. We’re talking strategy, design, and architecture here!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Head of Platform Engineering (AI) - Senior Technology Leader
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Neo4j, LLM capabilities, and API-first architecture in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Head of Platform Engineering role. Use keywords from the job description to make it clear you’re the perfect fit for us.
Be Authentic: Let your personality shine through in your written application. We’re looking for someone who can lead and inspire, so don’t be afraid to show us what makes you unique!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tech Inside Out
Make sure you’re well-versed in Neo4j, LLM capabilities, Kafka, and Java/JVM. Brush up on your API-first architecture knowledge too. Being able to discuss these technologies confidently will show that you’re the right fit for leading a global AI platform.
✨Showcase Your Leadership Skills
Prepare examples of how you've built engineering teams or shaped delivery models in the past. Highlight your experience in transitioning from third-party teams to in-house setups, as this is crucial for the role. They’ll want to see your strategic thinking and ability to lead.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you would assess, rationalise, and rebuild governance for the platform. Think about potential challenges in scaling AI production and have some solutions in mind. This will show your proactive approach and readiness for the responsibilities ahead.
✨Align with Their Vision
Understand the consultancy's goals around technology and AI. Be prepared to discuss how you can contribute to their growth and potentially step into a CTO role. Showing that you’re aligned with their vision will set you apart from other candidates.