Senior Software Engineer - AI Platform & Cloud Services @ Aveva

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 AVEVAs product portfolio and partner ecosystem.

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

You will be part of a Scrum team to build innovative, standards-compliant,secureand production-grade AI capabilities, with a builder mindset, rapidprototypingand 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,ideallyusing Microsoft and .NET technologies.

• Strongexpertisein RESTful API design, versioning, testing, and lifecycle management.

• Proficient in securing APIs, managing authentication/authorizationand 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 toanalysecomplex 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 RD locations