Senior Data Platform Engineer — AI/ML & Agentic AI

Accenture Australia

City of Melbourne

On-site

AUD 150,000 - 210,000

Full time

5 days ago
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Benefits offered by this job

18 weeks paid parental leave
Career development program
Flexible work arrangements
Diversity & Inclusion recognition

Job summary

Accenture Australia is seeking a Senior Platform Engineer to build, enhance and optimise core components of the AI & Data Platform across AI/ML and Agentic AI. You will manage cloud-native and hybrid environments, implement IaC, and strengthen security, observability and cost efficiency.

The role involves working with Azure, Microsoft Foundry, Azure ML, Snowflake, Databricks and Fabric to enable teams to securely develop, test, deploy and operate enterprise AI agents and models.

Qualifications

  • Experience building and operating AI/ML platform services.
  • Strong knowledge of cloud-native and hybrid environments.
  • Security, observability and cost‑efficient platform design.

Responsibilities

  • Lead cloud-native and hybrid environment setup and management (Azure, Foundry, Azure ML, Snowflake, Databricks, Fabric).
  • Develop Agentic AI platform capabilities with Foundry and Azure services.
  • Drive MLOps, DevOps, CI/CD, and platform automation with IaC (Terraform).
  • Implement security controls, identity, private networking and secrets management.
  • Build observability across models, agents, tools and workflows.
  • Collaborate with data scientists, ML engineers and product teams.

Skills

Cloud platform engineering
DevOps
MLOps
CI/CD
Observability
Security
Terraform
Azure
Kubernetes

Tools

Azure DevOps
GitHub
Kubernetes/AKS
Azure ML
Databricks
Snowflake
Microsoft Foundry
Terraform
Fabric

Job description

Accenture Australia is seeking a Senior Platform Engineer to build, enhance and optimise core components of the AI & Data Platform across AI/ML and Agentic AI. You will manage cloud-native and hybrid environments, implement IaC, and strengthen security, observability and cost efficiency.

The role involves working with Azure, Microsoft Foundry, Azure ML, Snowflake, Databricks and Fabric to enable teams to securely develop, test, deploy and operate enterprise AI agents and models.

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