Principal Software Engineer - AI Platform & Cloud Services
5 days ago
Cambridge
AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Principal Software Engineer - AI Platform & Cloud Services Location:Cambridge UK (Hybrid) Employment Type:Regular Full-Time Reports To: R&D Senior Manager We are looking for passionate and skilled Software Developers to join our Core AI Services 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. 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: • 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., • Work with multiple teams to create AI solutions which include AI model deployment training and AI tooling development. AI & Cloud Expertise • 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)., • Strong knowledge or experience in working with various ML algorithms (regression classification clustering deep learning), • Knowledge of AI ethics and regulations (e.g. NIST AI RMF EU AI Act) and commitment to responsible AI development., • Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks., • Familiar with AI orchestration including tools like AI Foundry and/or Semantic Kernel., • Experience with tools for automated testing and evaluation of AI outputs is a plus., • Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: • 12 years of experience in software engineering preferably in platform or cloud-native service development using Microsoft technologies., • Hands-on experience with Microsoft Azure and associated PaaS services (e.g. Azure Functions AKS API Management)., • Strong expertise in RESTful API design versioning testing and lifecycle management., • Proficient in securing APIs managing authentication/authorization and data privacy practices., • 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, • Demonstrated experience with AI frameworks tools and Python 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 its 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. Find out more: ___ Find out more: AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Principal Software Engineer - AI Platform & Cloud Services Location:Cambridge UK (Hybrid) Employment Type:Regular Full-Time Reports To: R&D Senior Manager We are looking for passionate and skilled Software Developers to join our Core AI Services 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. 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: • 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., • Work with multiple teams to create AI solutions which include AI model deployment training and AI tooling development. AI & Cloud Expertise • 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)., • Strong knowledge or experience in working with various ML algorithms (regression classification clustering deep learning), • Knowledge of AI ethics and regulations (e.g. NIST AI RMF EU AI Act) and commitment to responsible AI development., • Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks., • Familiar with AI orchestration including tools like AI Foundry and/or Semantic Kernel., • Experience with tools for automated testing and evaluation of AI outputs is a plus., • Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: • 12 years of experience in software engineering preferably in platform or cloud-native service development using Microsoft technologies., • Hands-on experience with Microsoft Azure and associated PaaS services (e.g. Azure Functions AKS API Management)., • Strong expertise in RESTful API design versioning testing and lifecycle management., • Proficient in securing APIs managing authentication/authorization and data privacy practices., • 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, • Demonstrated experience with AI frameworks tools and Python 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 its 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. Find out more: