Principal AI Engineer

Overview

Join AVEVA's Core AI Services team as a software developer building secure, reliable, cloud-native AI platform services and public APIs that serve as foundational building blocks for AI adoption across the product portfolio and partner ecosystem.

What you'll do

• 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, including AI model deployment, training, and AI tooling development.

What you'll need

• 8+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms.
• 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.
• Experience 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, MAF.
• 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.

Nice to have

• Experience with tools for automated testing and evaluation of AI outputs.

Details

• Location: Bangalore, India.
• Employment type: Regular, full-time.
• Reports to: AI Senior Manager.
• Hybrid working: expected to be on-site 50% of working hours; working arrangement to be confirmed during the hiring process.