Designing and delivering enterprise-grade AI/ML and Data Science platforms within complex cloud ecosystems
Building serverless and containerised execution environments for ML and data workloads
Developing secure, scalable patterns for cloud Infrastructure-as-Code and deployments
Defining API standards, observability strategies and architectural guardrails
Establishing and evolving CI/CD pipelines with automation at the core
Leading and mentoring cross-functional engineering and data teams
Translating business requirements into pragmatic architectural solutions
Maintaining technical alignment with product, business and customer goals
Selecting technology approaches that meet non-functional requirements while optimising cost
Continuously researching emerging technologies and best practices and applying them where beneficial

Excellent knowledge of Python and/or TypeScript (Java a strong plus)
Hands-on experience delivering secure, scalable cloud solutions in enterprise environments
Strong IaC experience (Terraform preferred, CloudFormation also valuable)
Solid understanding of architectural design patterns and their application to AI systems
Deep expertise in one or more of: GCP, AWS, Azure
Advocacy for high-quality engineering: automation, testing, IaC, pipeline maturity
Excellent communication and documentation skills
written, verbal, diagrammatic
Practical experience with serverless and containerised deployments
Proven ability to design and operate robust CI/CD workflows
IF YOU KNOW THIS EVEN BETTER: Event-driven architecture experience
Advanced Terraform skills
Strong Azure background
Data engineering platform knowledge
Familiarity with data science tooling and lifecycle
Working knowledge of Rust

Cloud Architect – AI

Key skills