VP of AI Engineering & Platform Development @ Aveva

Job Title: VP of AI Engineering & Platform Development

Type: Full-Time

About the Role

AVEVA is building the next generation of AI-powered industrial intelligence solutionsand we need a hands-on technology leader to make it happen. As VP of AI Engineering & Platform Development, you will architect and deliver secure, scalable, and reliable AI services that form the foundation of our global Industrial Intelligence Platform.

This is not a purely strategic roleyou will roll up your sleeves, lead execution, and guide engineering teams to build distributed, cloud-native services and APIs that democratize access to AI capabilities across AVEVAs product portfolio and partner ecosystem.

If you thrive in startup-like environments, love building from the ground up, and have deep experience in AI and cloud platforms, we want to talk to you.

Key Responsibilities:

Platform Services Development

• Design and deliver Core AI Services (orchestration, SDKs, APIs) that are scalable, reusable, secure, and highly available.
• Ensure services follow best practices for validation, continuous delivery, and disaster recovery.
• Build extensible services that support a federated contribution model to accelerate scalability across AVEVA.

Democratization & Adoption

• Drive adoption and reuse of AI services across AVEVA product teams and partners.
• Enable self-service access, reference implementations, and integration toolkits to lower barriers to entry.
• Collaborate with execution leaders and enablement teams to accelerate AI adoption.
• Embed security and privacy-by-design into all services and APIs.
• Ensure compliance with global AI regulations and emerging governance frameworks.
• Implement processes for responsible AI, including 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.
• Partner with Product Managers and Architects to translate industrial AI use cases into platform capabilities.

Team Leadership & Culture

• Build and lead a high-performing, cross-functional engineering team with a strong culture of excellence.
• Foster a builder mindsetencouraging rapid prototyping and continuous improvement with startup agility.
• Drive collaboration across geographies, time zones, and technical disciplines.

Qualifications:

• 15+ years in software product development, with 8+ years in leadership roles focused on cloud-native platforms or AI services.
• Hands-on technical leadership experience in building distributed AI/cloud services.
• Proven experience with distributed, secure, and scalable AI/cloud services
• Hands-on expertise in AI/ML technologies and API lifecycle management.
• Startup or pre-IPO experience strongly preferred.

Desired Skills:

• Familiarity with AI standards (Model Context Protocol, Agent2Agent).
• Understanding of global AI regulations (EU AI Act, NIST AI RMF) and responsible AI principles.
• Excellent stakeholder engagement and communication skills.