Chief AI Infrastructure Architect

5 days ago

Melbourne, Victoria, Australia beBeeInfrastructure Full time $160,000 - $200,000

We're a leading business management solution committed to helping businesses thrive in Australia and New Zealand.

About The Role

This is a high-impact position at the forefront of our AI transformation journey.

As an AI Platform Engineer, you'll design and build cloud foundations that empower teams across the organization to innovate with AI – safely, at scale, and with speed.

Your work will support the development of innovative products, insights, and efficiencies that will shape the future of our business.

Key Responsibilities:
  • Build secure, reusable AWS infrastructure components to support internal AI and data solution teams.
  • Implement platform observability with proactive monitoring and alerting for all AI and ML workloads.
  • Embed financial operations practices into platform design to drive cloud cost visibility and optimization.
  • Stay current with emerging AI technologies and AWS updates to continually enhance platform capabilities.
  • Influence internal standards and tooling to reflect high-quality AI infrastructure.
  • Provide clear guidance and enablement materials to support team adoption of platform services.

Required Skills and Qualifications:

  • Solid experience in cloud platform engineering, Dev Ops, data infrastructure, or MLOps roles.
  • Strong hands-on skills with AWS services like SageMaker, Bedrock, Lambda, S3, IAM, CloudWatch, Step Functions, and API Gateway.
  • Consistent record of applying financial operations practices for cost tracking, tagging, reporting, and optimization.
  • Experience deploying and running data and ML workloads in AWS environments.
  • Skilled in infrastructure-as-code using Terraform, AWS CDK, or CloudFormation.
  • Experience integrating security, compliance, and governance into cloud-native platforms.
  • Familiarity with emerging AI technologies such as LLMs, vector databases, and orchestration frameworks.

Benefits:

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Data Science, Machine Learning, or a related field and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.

Join Our Team:

At our company, we believe in creating a positive impact on businesses and communities. We're dedicated to providing the tools and resources needed to help people succeed.

We're looking for talented individuals who share our vision and are passionate about AI infrastructure and cloud computing.

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