
R&D VP – AI Core Services Development
- Cambridge
- Permanent
- Full-time
- 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 contributions 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.
- 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.
- 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 adhering to AVEVA’s principles and best practices related to responsible AI, model explainability, observability, and auditability.
- 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.
- 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.