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# Principal Technologist, Core AI Services

- **Company:** AVEVA
- **Location:** Cambridge, UK
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Fault Tolerance, Software Tools, Service Development Studio, Software Engineering, Management of Software Versions, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations, Software Coding, Restful APIs, Data Pipelines, Serverless Computing
- **Published:** September 21, 2026
- **Apply:** https://dejobs.org/x/x/C742AB3D3E244FDD9A3A60F15EB79DF6/job/

## About the Role

* 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 GitHub 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

Desirable Skills & Experience

 * 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], Agent2Agent [A2A]).
 * Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities.

## Description

* 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.