Cloud Platform Engineering Specialist

Location:

Bristol

Salary:
Competitive Salary + Package (dependent on experience)

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture:
We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services.

Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value.

• 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 the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later
• Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure capabilities that reduce manual operational toil
• Lead the design and delivery of CI/CD platforms incorporating AI-assisted deployment pipelines, automated testing and operational automation, establishing these as engineering standards across delivery teams
• 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, Fin Ops 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…