Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of core AI services for an innovative industrial software platform.
- Company: Join a pioneering tech company focused on AI and cloud solutions.
- Benefits: Enjoy flexible benefits, 28 days annual leave, and opportunities for professional growth.
- Why this job: Make a real impact in AI while leading a talented team in a dynamic environment.
- Qualifications: 20+ years in software development with strong leadership in cloud-native platforms or AI services.
- Other info: Collaborative culture with a focus on innovation and inclusivity.
The predicted salary is between 72000 - 108000 ÂŁ per year.
We are searching for an accomplished Software Development Leader to build and lead the development of core AI Services for our Industrial Intelligence Software Platform.
In this role, you will be responsible for delivering secure, reliable, highly available, and scalable platform services that will serve as foundational building blocks for AI capabilities across AVEVA’s product portfolio and partner ecosystem. These services will power intelligent industrial solutions at global scale.
You will lead a talented team of engineers to architect, build, and evolve distributed cloud‑native services and public APIs that enable democratized access to AI capabilities, accelerating innovation and adoption across domains, technology teams, and external partners. We are specifically keen on individuals who have experience within start‑up type environments.
Key Responsibilities- Platform Services Development
- Drive the Execution, Design, and Build of Core AI services that are scalable, reusable, secure, reliable, and highly available.
- Ensure the Core AI Services (Orchestration, SDKs, etc.) are extensible and allow contribution on a federated model to accelerate scalability within AVEVA.
- Ensure Core AI services are sustainable and follow best practices for validation, continuous delivery, disaster recovery, etc.
- Democratization & Adoption
- Drive adoption and reuse of core AI services by AVEVA product and capability teams.
- Enable self‑service access, reference implementations, and integration toolkits to lower the barrier to entry.
- Engage with other execution leaders and collaborate with enablement teams to support Core AI adoption.
- Security, Compliance & Regulations
- Embed security and privacy‑by‑design practices into all services and APIs.
- Ensure compliance with global AI regulations and emerging governance frameworks.
- Establish processes for responsible AI, model explainability, observability, and auditability.
- AI & Cloud Expertise
- Provide strong execution leadership in AI and cloud‑native software development.
- Guide the use of modern AI frameworks, data pipelines, inference engines, and orchestration platforms.
- Collaborate with Product Managers and Architects to translate industrial AI use cases into services capabilities.
- Team Leadership & Execution
- Build and lead a high‑performing, cross‑functional development team with a strong culture of engineering excellence.
- Foster a builder mindset within the team — encouraging rapid prototyping and continuous improvement with agility of a start‑up.
- Foster a collaborative environment across geographies, time zones, and technical disciplines.
- 20+ years of experience in software product development, with 10+ years in leadership roles focused on development of cloud‑native platforms or AI services.
- Proven experience building distributed, secure, and scalable cloud/AI services (ideally on Microsoft Azure) which accelerate value delivery to customers.
- Solid background in AI/ML technologies, including experience in AI models and tools.
- Strong knowledge of public API design and service lifecycle management.
- Familiarity with the latest AI standards including Model Context Protocol (MCP) and Agent2Agent (A2A).
- Familiarity with AI regulations (EU AI Act, NIST AI RMF) and responsible AI principles.
- Excellent stakeholder engagement, collaboration, and communication skills.
- Scalability, Reliability, Availability, and Security of core AI services in production.
- Adoption of services by internal product/capability teams and external partners.
- Developer experience and ease‑of‑use of AI Services APIs.
- Compliance with applicable AI governance and regulatory requirements.
- Engagement and growth of the core AI services team.
Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.
Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.
UK Benefits include Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave.
VP / Head of AI Platform Engineering in Cambridge employer: AVEVA
Contact Detail:
AVEVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP / Head of AI Platform Engineering in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software development space. Attend meetups, webinars, or industry events to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio or GitHub repository that highlights your projects related to AI services and cloud-native platforms. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI regulations and best practices. Be ready to discuss how you've implemented security and compliance in past projects—this is crucial for roles like VP of AI Platform Engineering.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your leadership experience and passion for AI and cloud technologies.
We think you need these skills to ace VP / Head of AI Platform Engineering in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of VP / Head of AI Platform Engineering. Highlight your experience in building scalable cloud-native platforms and leading teams, as these are key aspects of the job.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your leadership in AI services and how you've driven adoption in previous positions.
Showcase Your Technical Expertise: Don’t forget to highlight your technical skills! Mention your familiarity with AI/ML technologies, public API design, and any relevant regulations. This will show us you’re up to speed with the latest industry standards.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at AVEVA
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks, especially those relevant to cloud-native platforms. Be ready to discuss your experience with distributed systems and how you've tackled scalability and security in past projects.
✨Showcase Leadership Experience
As a VP or Head of AI Platform Engineering, your leadership skills are crucial. Prepare examples of how you've built and led high-performing teams, fostered a collaborative environment, and encouraged innovation. Highlight any experience in start-up environments to show you can thrive in dynamic settings.
✨Understand Compliance and Security
Familiarise yourself with AI regulations like the EU AI Act and NIST AI RMF. Be prepared to discuss how you've embedded security and privacy-by-design practices into your services. This will demonstrate your commitment to responsible AI development.
✨Engage with Stakeholders
Communication is key! Think about how you've engaged with various stakeholders in previous roles. Be ready to share strategies for collaboration and how you've driven adoption of AI services within teams and across organisations.
