Lead AI Engineer - Cloud & Platform Services
Lead AI Engineer - Cloud & Platform Services

Lead AI Engineer - Cloud & Platform Services

Cambridge Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to design and develop cutting-edge AI platform services.
  • Company: AVEVA is a global leader in industrial software, trusted by top companies worldwide.
  • Benefits: Enjoy flexible working, 28 days annual leave, private medical insurance, and more!
  • Why this job: Be part of a culture that values innovation, collaboration, and sustainability.
  • Qualifications: 8+ years in software engineering with strong AI/ML experience required.
  • Other info: Hybrid work model with opportunities for mentorship and continuous learning.

The predicted salary is between 48000 - 72000 £ per year.

AVEVA is creating software trusted by over 90% of leading industrial companies.
Job Title: Lead AI Engineer – Cloud & Platform 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 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.
You will 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:

  • 8+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms.
  • 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 – it\’s 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: aveva.com/en/about/careers/r-and-d-careers/
Why Join AVEVA?
At AVEVA, we are unlocking the power of industrial intelligence to create a more sustainable and efficient world. AVEVA Connect platform is at the heart of that transformation. As a leader in Core AI Services, you will help shape how AI is delivered at scale across industries. Join us in driving the next wave of industrial innovation.
UK Benefits include:
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
It\’s possible we\’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
Hybrid working
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
Hiring process
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
About AVEVA
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

Lead AI Engineer - Cloud & Platform Services employer: AVEVA

AVEVA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its diverse team of over 6,500 employees globally. Located in Cambridge, UK, the Lead AI Engineer role provides opportunities for professional growth through mentorship and continuous learning, alongside a comprehensive benefits package that includes flexible working arrangements, generous leave policies, and support for education. Join us to be at the forefront of industrial intelligence, contributing to meaningful projects that drive sustainability and efficiency across industries.
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Contact Detail:

AVEVA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer - Cloud & Platform Services

✨Tip Number 1

Familiarise yourself with Microsoft Azure and its PaaS services, as this role heavily relies on cloud-native solutions. Consider building a small project or contributing to an open-source project that showcases your skills in Azure.

✨Tip Number 2

Engage with the AI community by attending meetups or webinars focused on AI ethics and regulations. This will not only enhance your knowledge but also help you network with professionals who might provide insights into the hiring process.

✨Tip Number 3

Showcase your experience with Large Language Models (LLMs) and prompt engineering through practical examples. You could create a portfolio piece that demonstrates how you've applied these concepts in real-world scenarios.

✨Tip Number 4

Prepare for potential technical interviews by brushing up on RESTful API design and security practices. Practising coding challenges related to API development can give you a competitive edge during the interview process.

We think you need these skills to ace Lead AI Engineer - Cloud & Platform Services

Cloud-Native Development
Microsoft Azure Expertise
RESTful API Design
AI Model Deployment
Large Language Models (LLMs)
Prompt Engineering
AI Ethics and Regulations
Python Programming
Machine Learning Algorithms
Agile Methodologies
Cross-Functional Collaboration
Security Best Practices
Automated Testing for AI Outputs
Mentoring and Team Leadership
Continuous Improvement Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI and cloud services, particularly with Microsoft Azure. Emphasise your hands-on experience with AI frameworks like PyTorch and TensorFlow, as well as your expertise in RESTful API design.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and software development. Mention specific projects or experiences that demonstrate your ability to build scalable, cloud-native services and your understanding of AI ethics and regulations.

Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your problem-solving abilities, especially in complex technical challenges. Highlight any experience you have mentoring junior developers and fostering a culture of continuous learning.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, mention any previous experiences where you collaborated effectively with diverse teams. This could include Agile methodologies or global R&D collaborations.

How to prepare for a job interview at AVEVA

✨Showcase Your AI Expertise

Make sure to highlight your experience with Large Language Models and other AI frameworks during the interview. Be prepared to discuss specific projects where you've implemented AI solutions, focusing on the trade-offs you navigated between performance, cost, and capability.

✨Demonstrate Cloud Knowledge

Since the role involves building cloud-native services on Microsoft Azure, brush up on your Azure skills. Be ready to explain how you've used Azure services in past projects, particularly around API management and security practices.

✨Emphasise Collaboration Skills

This position requires working within a Scrum team and collaborating across various functions. Share examples of how you've successfully worked in Agile teams, highlighting your ability to communicate effectively and mentor junior developers.

✨Prepare for Technical Challenges

Expect to face technical questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex technical challenges, especially those related to AI and cloud services, to demonstrate your analytical skills.

Lead AI Engineer - Cloud & Platform Services
AVEVA
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  • Lead AI Engineer - Cloud & Platform Services

    Cambridge
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-08-29

  • A

    AVEVA

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