Senior Software Engineer, AI Services

Salary: £45,000 - 85,000 per year

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 and authorization, and data privacy practices.
• Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
• Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
• Experience working with Large Language Models (LLMs), AI orchestration, and agentic frameworks.
• Experience with tools for automated testing and evaluation of AI outputs.
• Experience working in Agile teams and collaborating across global R&D locations.

Responsibilities:

• Work with multiple teams to create AI solutions, including 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.

Technologies:

• AI
• API
• Azure
• Cloud
• Docker
• Support
• Kubernetes
• PaaS
• Security
• ASP.NET
• 3D
• MLOps

More:

We are AVEVA, a global leader in industrial software with more than 6,500 employees in over 40 countries. We create software trusted by over 90% of leading industrial companies, and our solutions support essential industries such as energy, infrastructure, chemicals, and minerals. Our Core AI Services team is building secure, reliable, cloud-native AI-enabling platform services and public APIs that support AI adoption across our product portfolio and partner ecosystem. AI and cloud are central to our strategy, and our global team of 2,000+ developers works across a diverse portfolio of more than 75 industrial automation and engineering products. We offer a hybrid working model in Cambridge, United Kingdom, with an expectation of being on-site 50% of working hours, and our UK benefits include a flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave plus bank holidays, pension, life cover, private medical insurance, parental leave, and an education assistance program. We are committed to sustainability, inclusion, learning, collaboration, and providing reasonable accommodation where appropriate.

last updated 36 week of 2026