Principal Data
1 day ago
Principal Data & AI Platform Engineer (Contract)
Sydney
|
Contract until June 2025 (extension likely)
|
Immediate start
Join a leading Australian enterprise to work on a
greenfield AI platform initiative
that will build the foundations for secure, scalable, and production-ready AI across the organisation.
This is a hands-on technical leadership role where you'll help
design, build, and operationalise an enterprise-grade AI Workbench platform
that will empower data scientists and analysts to experiment, deploy, and scale ML models and generative AI use cases.
About the Project
You'll be joining a new initiative to create an
AI Workbench platform
that unifies data science and ML development across the organisation. The platform will:
- Enable rapid experimentation with ML models and LLM prompts
- Streamline and standardise tooling for AI/ML workflows
- Provide secure, governed, and scalable access to data and compute
- Lay the foundation for enterprise-scale AI production capabilities
Built on
AWS
using services like
SageMaker, Bedrock, S3, RDS, and Teradata
, this platform will support three core components:
- ML Workbench
– for model development and experimentation - Gen AI Workbench
– for prompt engineering and generative AI innovation - Enterprise AI Platform
– for production deployment and inference at scale
The Opportunity:
As
Principal Data & AI Platform Engineer
, you will:
- Lead the build and operationalisation
of the AI Workbench from early-stage architecture through to production delivery by June 2025 - Design and implement
cloud-native data and AI platform components with a focus on scalability, reproducibility, and governance - Collaborate with a cross-functional team
(Product Owner, Cloud Engineer, Solution Architect) to define best practices for AI platform engineering - Drive continuous releases
and platform enhancements, incorporating user feedback and evolving AI capabilities - Mentor engineers and uplift platform capability
, shaping the engineering culture for this new initiative
What You'll Bring:
10+ years' experience building and operating large-scale data or AI/ML platforms in enterprise environments
Strong technical expertise across
AWS services
(SageMaker, Bedrock, S3, IAM, CloudFormation/Terraform, CI/CD)
Proven success establishing
platform engineering patterns and standards
in greenfield or early-stage initiatives
Hands-on experience in
AI/ML Ops
, secure data integration, and infrastructure automation
Strong problem-solving and communication skills, with the ability to translate architecture into actionable build plans
(Bonus) Familiarity with
GenAI, LLM orchestration, or prompt engineering
Why You'll Love It
- Shape the direction of a
strategic, enterprise-wide AI initiative
from the ground up - Work with
cutting-edge AWS technologies
and emerging GenAI tools - Collaborate within a small, high-performing engineering team where your work has visible impact
- Opportunity to
extend beyond June 2025
as the platform evolves and scales
Interested in hearing more? Apply today
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