Cloud Platform Engineering Lead (AI-Ready Infra)

Accenture UK & Ireland

Glasgow

On-site

GBP 90,000 - 130,000

Full time

33 hours ago

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Benefits offered by this job

25 days vacation per year

Private medical insurance

Charitable leave

Job summary

Accenture is seeking a Cloud Platform Engineering Associate Manager in Glasgow to lead enterprise-scale cloud platform programmes and drive AI-native infrastructure across major cloud providers. You will design compute, network, storage, and security for GenAI/ML workloads while advancing AI-driven delivery practices and autonomous operations.

The role emphasizes leadership, AI-augmented engineering, and governance, with a strong focus on security, policy-as-code, and cost optimisation.

Qualifications

Design and delivery of enterprise-scale cloud platforms across Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake.
Advanced Infrastructure as Code capabilities (Terraform, Bicep, CloudFormation or similar) including AI-assisted IaC generation and governance.
CI/CD platform design and implementation, with experience incorporating AI-assisted deployment and test automation.
AIOps, platform observability and intelligent monitoring — including experience designing or operating self-healing or autonomously managed platform capabilities.
Cloud security, networking, identity and access management, and policy-as-code engineering.
AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production.
Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard.
Familiarity with agentic AI patterns and their implications for platform design, operations and governance.

Responsibilities

Lead delivery of enterprise-scale cloud platform programmes, driving the design and implementation of AI-native infrastructure across Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake.
Architect and oversee AI-ready platform environments from the outset — designing for compute, networking, storage and security requirements of GenAI, ML and agentic workloads.
Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities.
Lead the design and delivery of CI/CD platforms incorporating AI-assisted deployment pipelines, automated testing and operational automation, establishing these as engineering standards.
Establish and govern Infrastructure as Code practices at scale, increasingly leveraging AI-assisted code generation and review to accelerate platform delivery and enforce consistency.
Lead platform security, networking and compliance engineering — embedding policy-as-code, automated governance controls and AI-assisted security scanning as standard elements of platform delivery.
Design for platform resilience, FinOps and performance optimisation — using AI-driven telemetry and observability to anticipate issues, optimise cost and maintain operational excellence.
Drive adoption of agentic operations patterns — designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively.
Mentor and develop platform engineering teams in AI-augmented delivery practices, setting technical standards and fostering a culture of continuous improvement and engineering excellence.
Contribute to proposition development, accelerators and reusable platform assets that strengthen our market offering and reduce delivery time on future engagements.