Principal AI Platform Engineer - Cloud-Native APIs

AVEVA; Cambridge; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Flexible benefits fund

Emergency leave days

Adoption leave

28 days annual leave

Pension

Life cover

Private medical insurance

Parental leave

Education assistance program

Job summary

AVEVA is seeking a hands-on Principal Engineer to join the Core AI Services team in Cambridge. You will design, develop, and scale AI-enabled platform services and public APIs that are secure, cloud-native, and reliable, enabling AI adoption across AVEVA’s products and partners.

You will lead architecture reviews, mentor engineers, and collaborate across global R&D locations to deliver scalable AI capabilities, model deployment, training, and tooling within an agile Scrum environment.

Qualifications

• 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.

Responsibilities

• Serve as the technical authority for core services owning design, reliability and performance.
• Build scalable, fault-tolerant cloud-native services on Microsoft Azure.
• 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.

Skills

Cloud-native development

RESTful API design

Kubernetes

Azure cloud

Security best practices

Prompt engineering

AI tooling

Agile methodologies

Mentoring

Cross-functional collaboration

Tools

Kubernetes

Azure

REST API tooling

Job description

AVEVA is seeking a hands-on Principal Engineer to join the Core AI Services team in Cambridge. You will design, develop, and scale AI-enabled platform services and public APIs that are secure, cloud-native, and reliable, enabling AI adoption across AVEVA’s products and partners.

You will lead architecture reviews, mentor engineers, and collaborate across global R&D locations to deliver scalable AI capabilities, model deployment, training, and tooling within an agile Scrum environment.