Principal Technologist, Core AI Services

AVEVA is creating software trusted by over 90% of leading industrial companies.

Job Title:

Principal Technologist, Dev - AI Core Services Development

Location:

Cambridge, UK

Employment Type:

Regular, Full-Time (Hybrid) We are looking for a hands-on Principal Engineer 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. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility of a start-up.

This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software.

• Serve as the technical authority for core services owning design, reliability and performance.
• 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.
• Lead and 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.

• 12+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies.
• Hands-on experience with containerised deployments in Kubernetes.
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
• Proficient in securing APIs, managing authentication/authorization and data privacy practices.
• Fluent in developing code using AI Tools such as Git Hub Copilot.
• Must be able to use prompt engineering to carry out multiple development tasks.
• 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.

• Familiarity with Retrieval-Augmented Generation (RAG), tool-calling, and AI orchestration frameworks (e.g., Semantic Kernel, Azure AI Foundry).
• Understanding of Large Language Models (LLMs) and the trade-offs between latency, capability, cost, and model sizing.
• Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2
  
  Agent [A2A]).
• Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities.

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.

• Flexible benefits fund
• emergency leave days
• adoption leave
• 28 days annual leave (plus bank holidays)
• pension
• life cover
• private medical insurance
• parental leave
• education…