We are looking for passionate and seasoned Software Engineers 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 AVEVA’s product portfolio and partner ecosystem. 

If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you. 

You will be 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: 

• Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. 

• 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. 

Essential requirements  

• Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies. 

• Strong expertise in RESTful API design, versioning, testing, and lifecycle management. 

• Proficient in securing APIs, managing authentication/authorization and data privacy practices. 

• Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads. 

• Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. 

Desired skills and competencies  

• 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).  

• Familiar with AI orchestration and agentic frameworks. 

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

• Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. 

• Experience working in Agile teams and collaborating across global R&D locations 

R&D at AVEVA  

• Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. 

• Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. 

Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support