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For Companies At a Glance
- Tasks: Design and develop AI-enabling platform services and public APIs for cloud-native applications.
- Company: AVEVA is a global leader in industrial software, trusted by over 90% of top industrial companies.
- Benefits: Enjoy flexible benefits, 28 days annual leave, private medical insurance, and education assistance.
- Why this job: Join a culture of innovation and collaboration, shaping the future of AI across industries.
- Qualifications: 6+ years in software engineering, with 2+ years in AI/ML solutions and strong Azure experience.
- Other info: Hybrid working model; be part of a diverse team driving industrial intelligence.
The predicted salary is between 48000 - 84000 £ per year.
Overview
Senior Software Engineer – AI Platform & Cloud Services at AVEVA. 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 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 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, including AI model deployment, training, and AI tooling development.
AI & Cloud Expertise
- Experience with Large Language Models (LLMs) and 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 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. Able to use prompt engineering for multiple development tasks.
- Knowledge of AI orchestration frameworks such as Semantic Kernel, AI Foundry, or similar.
- 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
- 6+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET 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 a diverse portfolio of over 75 industrial automation and engineering products, covering data management to 3D design. AI and cloud are at the centre of our strategy, with over 150 patents. We value learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.
Why Join AVEVA?
AVEVA is unlocking the power of industrial intelligence to create a more sustainable and efficient world. The AVEVA Connect platform is central to that transformation. As a leader in Core AI Services, you will help shape how AI is delivered at scale across industries.
Benefits (UK)
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. The specific benefits vary by country, but packages are designed to be comprehensive.
Hybrid Working
By default, employees are expected to be in their local AVEVA office three days a week, but some roles are fully office-based. Some positions may be remote depending on customers or markets.
Hiring Process
Interested? Submit 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. Learn 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 solutions are used by thousands of enterprises to deliver essential services safely, efficiently, and more sustainably. We are committed to sustainability and inclusion, with 2030 targets published at sustainability-report.aveva.com. Learn more: aveva.com/en/about/careers/
Equal Opportunity
AVEVA is an Equal Opportunity Employer. We provide reasonable accommodation to applicants with disabilities where appropriate. If you need accommodations during any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation are made on a case-by-case basis.
Headings and Metadata
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
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Senior Software Engineer - AI Platform & Cloud Services employer: AVEVA
Contact Detail:
AVEVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - AI Platform & Cloud Services
✨Tip Number 1
Familiarise yourself with the latest trends in AI and cloud services, especially those related to Microsoft Azure. Being able to discuss recent developments or innovations during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the AVEVA community on platforms like LinkedIn or GitHub. Networking with current employees can provide you with insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to showcase your experience with AI frameworks and tools, particularly Python, PyTorch, and TensorFlow. Be ready to discuss specific projects where you've applied these technologies, as practical examples can set you apart from other candidates.
✨Tip Number 4
Brush up on your understanding of AI ethics and regulations, such as the NIST AI RMF and EU AI Act. Being knowledgeable about these topics will show that you are committed to responsible AI development, aligning with AVEVA's values.
We think you need these skills to ace Senior Software Engineer - AI Platform & Cloud Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with AI/ML solutions. Emphasise your hands-on experience with Microsoft Azure and any specific projects that demonstrate your skills in building cloud-native services.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and cloud technologies. Mention how your background aligns with AVEVA's mission and the specific responsibilities of the Senior Software Engineer role. Use examples to illustrate your problem-solving skills and collaborative experiences.
Showcase Relevant Projects: If you have worked on projects involving Large Language Models or AI frameworks like PyTorch or TensorFlow, be sure to include these in your application. Detail your role in these projects and the impact they had, especially in terms of scalability and performance.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, cloud services, or software development. This shows your commitment to staying updated in a rapidly evolving field and aligns with AVEVA's culture of innovation and continuous improvement.
How to prepare for a job interview at AVEVA
✨Showcase Your AI Expertise
Make sure to highlight your experience with AI frameworks and tools, especially those mentioned in the job description like PyTorch and TensorFlow. Be prepared to discuss specific projects where you've implemented AI solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Cloud Knowledge
Since the role involves building cloud-native services on Microsoft Azure, brush up on your Azure knowledge. Be ready to explain how you've used Azure services in past projects, particularly around PaaS offerings like Azure Functions and API Management.
✨Prepare for Technical Questions
Expect technical questions related to RESTful API design, security practices, and ML algorithms. Review common interview questions in these areas and practice articulating your thought process clearly and confidently.
✨Emphasise Collaboration Skills
This role requires working within a Scrum team and collaborating across global locations. Share examples of how you've successfully worked in teams, mentored junior developers, or contributed to a culture of innovation in your previous roles.
