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- Tasks: Lead the development of core AI services for an innovative industrial software platform.
- Company: Join AVEVA, a global leader in industrial software with a collaborative culture.
- Benefits: Enjoy flexible benefits, 28 days annual leave, and education assistance.
- Why this job: Make a real impact by driving AI innovation at a global scale.
- Qualifications: 20+ years in software development, with strong leadership in cloud-native platforms.
- Other info: Hybrid working model with opportunities for career growth 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.
Core Skills and Qualifications
- 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.
What Success Looks Like
- 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.
UK Benefits
- Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
Hybrid working
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office‑based. Roles supporting particular customers or markets are sometimes remote.
Hiring process
Interested? Great! Submit your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Let us know in advance if you need reasonable support during your application process.
About AVEVA
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting‑edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.
Equal Opportunity Employer
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter.
VP / Head of AI Platform Engineering in London 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software development space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to AI services or cloud-native platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've driven adoption of AI services in previous roles. Practice common interview questions with a friend to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at AVEVA.
We think you need these skills to ace VP / Head of AI Platform Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of VP / Head of AI Platform Engineering. Highlight your leadership in software development and any experience with cloud-native platforms or AI services.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for our team. Be sure to mention any relevant start-up experience!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've driven success in previous roles, especially in building scalable and secure AI services.
Apply Through Our Website: We encourage you to apply through our application portal. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at AVEVA
✨Know Your AI Stuff
Make sure you brush up on the latest AI frameworks and cloud-native software development practices. Be ready to discuss your experience with distributed, secure, and scalable AI services, especially if you've worked with Microsoft Azure. This role is all about delivering robust AI capabilities, so show them you know your stuff!
✨Showcase Your Leadership Skills
As a VP or Head of AI Platform Engineering, you'll need to demonstrate strong leadership abilities. Prepare examples of how you've built and led high-performing teams in the past. Talk about fostering a collaborative environment and encouraging innovation—this will resonate well with their focus on a builder mindset.
✨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 previous projects. This shows that you take compliance seriously and understand the importance of responsible AI.
✨Engage with Their Vision
Research AVEVA's product portfolio and think about how your experience aligns with their goals. Be ready to discuss how you can drive the adoption of core AI services and lower barriers for internal teams and external partners. Showing that you’re aligned with their vision will set you apart from other candidates.
