Forward Deployed AI Engineer, Australia

Cloudera
Sydney
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Mentorship","Collaboration","Customer focus","Autonomy"]

Embed with strategic enterprise customers to prototype and deploy full-stack, production-grade AI and agentic applications using Cloudera. Drive AI use cases from early pilots to production readiness, advise on AI roadmaps and deployment considerations, and codify successful patterns into reusable architectures and playbooks. Mentor internal teams, channel customer and field signals back to product, and help scale enterprise-quality AI delivery practices.

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FursaFursa
Cloudera
Cloudera
1 day ago

Forward Deployed AI Engineer, Australia

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Embed with strategic enterprise customers to prototype and deploy full-stack, production-grade AI and agentic applications using Cloudera. Drive AI use cases from early pilots to production readiness, advise on AI roadmaps and deployment considerations, and codify successful patterns into reusable architectures and playbooks. Mentor internal teams, channel customer and field signals back to product, and help scale enterprise-quality AI delivery practices.
Location: Sydney
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and prototype full-stack AI applications on Cloudera to demonstrate how AI and agentic systems solve enterprise use cases.
  • •Partner with strategic customers to take AI and agentic use cases from early prototypes to production readiness.
  • •Advise customer leaders on AI roadmaps, use case prioritization, and deployment considerations aligned to business goals.
  • •Codify solution patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
  • •Mentor Cloudera teams and feed field/customer signals back to product teams to improve the AI platform and products.

Pay and Benefits

Perks:Paid LeaveRemote Work

Key Requirements

  • •5+ years building and deploying production-grade systems, including 2-3 years building generative AI or agentic applications.
  • •Strong hands-on software engineering, data engineering, and applied AI/ML skills for full-stack AI or agentic systems.
  • •Experience with foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows.
  • •Deep understanding of LLMOps/MLOps practices (evaluation, observability, serving, monitoring, lifecycle management).
  • •Ability to design scalable AI solution architectures aligned to enterprise standards (security, governance, compliance) and translate needs for technical strategy.
Experience:5+ years
Skills:MentorshipCollaborationCustomer focusAutonomy
Tech Stack:Generative AIAgentic workflowsFoundation modelsContext engineeringFine-tuningSemantic searchRetrieval-Augmented Generation (RAG)LLMOpsMLOpsEvaluationObservabilityServingMonitoringLifecycle managementAWSAzureGCPCloudera platformSparkIceberg

Company Brief

Cloudera
Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 2008
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn