Principal AI Engineer – AI Core Services

About the role

We are looking for passionate and skilled software developers to join AVEVA’s Core AI Services team. In this role you will design, develop and scale AI‑enabling platform services and public APIs that are secure, reliable and cloud‑native, forming the foundation for AI adoption across AVEVA’s product portfolio and partner ecosystem.

Key responsibilities

• Build scalable, fault‑tolerant cloud‑native services on Microsoft Azure with high performance and reliability.
• Develop secure, well‑documented public APIs and SDKs for internal and external developers.
• Collaborate with cross‑functional teams to deliver end‑to‑end solutions across data pipelines, orchestration and service APIs.
• Embed robust security controls to protect sensitive data and ensure secure access to AI services.
• Contribute to design reviews, code reviews and architectural discussions to ensure engineering excellence.
• Mentor junior developers and foster a culture of continuous learning and innovation.
• Work with multiple teams on AI model deployment, training and tooling development.

Required profile

• 8+ years of professional software engineering experience, including 3+ years on AI/ML systems.
• Hands‑on experience with Microsoft Azure PaaS services (Azure Functions, AKS, API Management).
• Strong expertise in RESTful API design, versioning, testing and lifecycle management.
• Proficiency securing APIs, managing authentication/authorization and data‑privacy practices.
• Experience working in Agile Scrum teams across global R&D locations.
• Demonstrated ability to mentor junior team members.

Required skills

• Large Language Models (LLMs) and trade‑off analysis.
• Retrieval‑Augmented Generation (RAG), prompt engineering and tool calling.
• Model Context Protocol (MCP) and Agent2Agent (A2A) standards.
• Machine‑learning algorithms (regression, classification, clustering, deep learning).
• Python development and AI frameworks.
• GitHub Copilot and AI orchestration tools (AI Foundry, Semantic Kernel, MAF).

What we offer

• Gratuity, medical and accidental insurance, generous leave entitlement.
• Childcare support, maternity/paternity/adoption leave, education assistance.
• Home‑office setup support for hybrid roles and well‑being programs.