AI Engineer

About Us
Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

*Our Opportunity
Work Location:*
Perth Office – Fortescue's Perth office is located on the traditional lands of the Whadjuk Noongar people

Roster:
Monday to Friday

Fortescue is transforming its business using AI and data to automate, optimise, and decarbonise operations across mining and energy. The Data and AI Platform team builds and maintains the technical foundations that enable scalable, secure, and high-impact AI delivery.

The AI Platform team is responsible for architecting and engineering reusable AI components, orchestration frameworks, and cloud-based infrastructure that support data scientists, engineers, and digital product teams across the business. Our work enables consistent, trusted, and efficient development of GenAI agents, MLOps workflows, and enterprise-grade AI applications.

*Key Responsibilities*

• Design, build, and maintain scalable AI platform capabilities, including AI agents, copilots, and LLM-driven workflows, ensuring alignment with enterprise standards.
• Integrate AI solutions seamlessly into critical business workflows while ensuring compliance with architecture, security, and data governance frameworks.
• Prototype and evaluate emerging AI technologies to validate technical feasibility and deliver operational value through rapid experimentation.
• Collaborate effectively in agile, cross-functional teams to deliver AI solutions that meet business requirements and architectural best practices.

Qualifications And Experience

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence or a related field.
• Demonstrated in CV experience designing, developing, and delivering AI/ML systems, including cloud-native solutions.
• Strong proficiency in Python; familiarity with TypeScript/JavaScript, C#, or Go
• Practical expertise with ML/AI frameworks like PyTorch, TensorFlow, Hugging Face, and LangChain.
• Exposure to Generative AI and Retrieval-Augmented Generation (RAG) approaches, embedding models, vector stores, and agent orchestration.
• Working knowledge of cloud platforms (AWS or Azure), containerization (Docker), orchestration (Kubernetes), infrastructure-as-code (Terraform), and CI/CD pipelines.
• Familiarity with data and platform engineering tools such as Snowflake, Kafka, AWS S3, REST APIs, microservices, and knowledge graph integration.
• Experience contributing to Agile delivery teams, using Git and GitHub for version control and tools like Jira for project tracking.

*Our Commitment
Fortescue is deeply committed to providing a safe culture that builds respect, fosters inclusiveness, and values diversity. We celebrate individual strengths and team members from all backgrounds are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with across the world. Diverse backgrounds include First Nations Peoples, people with differing abilities, LGBTIQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics.
We encourage candidates from all backgrounds to apply.
*
Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub.

Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.