Lead AI Engineer - Cloud & Platform Services

We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem.

You will part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up.

Key Responsibilities:

• Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
• Develop secure, well-documented public APIs and SDKs for consumption by 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, encourage continuous learning, and contribute to a culture of innovation.
• Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.

AI & Cloud Expertise

• Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
• Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
• Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
• Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning)
• Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
• Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks.
• Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel.
• Experience with tools for automated testing and evaluation of AI outputs is a plus.
• Experience in Python and AI frameworks tools such as PyTorch and TensorFlow.

Core Skills and Qualifications:

• 8+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms.
• Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management).
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
• Proficient in securing APIs, managing authentication/authorization and data privacy practices.
• Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
• Experience working in Agile teams and collaborating across global R&D locations
• Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation
• Demonstrated experience with AI frameworks, tools and Python