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Forward Deployed AI Engineer (Senior/Principal Level)

🕒 14 days ago
AI ApplicationsGenerative AISoftware EngineeringData Engineering

📜 Description

  • Develop full-stack AI applications to demonstrate real enterprise use cases.
  • Work directly with customer teams to drive AI use cases from prototype to production.
  • Advise customer leaders on AI roadmaps and deployment considerations.
  • Standardize successful patterns into repeatable reference architectures and solutions.
  • Mentor Cloudera teams and contribute to resources that enhance AI capabilities.

🛠️ Requirements

  • 7+ years of experience building and deploying production-grade systems.
  • 2-3 years of experience building Generative AI or agentic applications.
  • Strong hands-on software engineering and applied AI/ML skills.
  • Experience with foundation models and agentic workflows.
  • Deep understanding of LLMOps/MLOps practices.

Benefits

  • Generous PTO Policy.
  • Flexible WFH Policy.
  • Mental & Physical Wellness programs.
  • Phone and Internet Reimbursement program.
  • Access to Continued Career Development.
  • Comprehensive Benefits and Competitive Packages.
  • Paid Volunteer Time.
Full job description

Cloudera seeks a seasoned Forward Deployed AI Engineer to drive AI adoption by embedding with customers and developing scalable AI applications.

Description

  • Develop full-stack AI applications to demonstrate real enterprise use cases.
  • Work directly with customer teams to drive AI use cases from prototype to production.
  • Advise customer leaders on AI roadmaps and deployment considerations.
  • Standardize successful patterns into repeatable reference architectures and solutions.
  • Mentor Cloudera teams and contribute to resources that enhance AI capabilities.

Requirements

  • 7+ years of experience building and deploying production-grade systems.
  • 2-3 years of experience building Generative AI or agentic applications.
  • Strong hands-on software engineering and applied AI/ML skills.
  • Experience with foundation models and agentic workflows.
  • Deep understanding of LLMOps/MLOps practices.

Benefits

  • Generous PTO Policy.
  • Flexible WFH Policy.
  • Mental & Physical Wellness programs.
  • Phone and Internet Reimbursement program.
  • Access to Continued Career Development.
  • Comprehensive Benefits and Competitive Packages.
  • Paid Volunteer Time.

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