Forward Deployed AI Engineer (Senior/Principal Level)

Cloudera
New York, San Jose, Austin
Workplace: RemoteFull timeUSD 198,000 - 247,500 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Customer collaboration","Mentorship","Thought leadership","Autonomy","Collaboration"]

Embed with strategic enterprise customers to design technical AI use cases and prototype full-stack AI/ML applications on Cloudera, moving solutions from early pilot to production readiness. Advise on enterprise AI roadmaps and architectures, codify repeatable solution patterns into reference architectures and playbooks, and translate field signals back to product. Build foundation-model and agentic/RAG workflows with strong LLMOps/MLOps practices for evaluation, observability, serving, monitoring, and lifecycle management.

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FursaFursa
Cloudera
Cloudera
1 day ago

Forward Deployed AI Engineer (Senior/Principal Level)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Embed with strategic enterprise customers to design technical AI use cases and prototype full-stack AI/ML applications on Cloudera, moving solutions from early pilot to production readiness. Advise on enterprise AI roadmaps and architectures, codify repeatable solution patterns into reference architectures and playbooks, and translate field signals back to product. Build foundation-model and agentic/RAG workflows with strong LLMOps/MLOps practices for evaluation, observability, serving, monitoring, and lifecycle management.
Location: New York, San Jose, Austin
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and prototype full-stack AI/ML applications on Cloudera to demonstrate AI and agentic systems for enterprise use cases.
  • •Partner with strategic customers to drive AI/agentic use cases from early prototype toward production readiness.
  • •Advise enterprise leaders on AI roadmaps, solution design, deployment, and AI use cases.
  • •Codify solution patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
  • •Mentor Cloudera teams, act as a thought leader, and channel customer/field signals back to product teams to improve AI platform and products.

Pay and Benefits

Salary: USD 198,000 - 247,500 annually
Perks:Paid LeaveWellness StipendPhone ReimbursementVolunteer Time

Key Requirements

  • •7+ years building and deploying production-grade systems, including 2–4 years building ML systems or GenAI/agentic applications.
  • •Hands-on software, data engineering, and applied AI/ML skills to build full-stack ML applications or agentic systems using modern AI frameworks and tooling.
  • •Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows.
  • •Deep understanding of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management.
  • •Ability to design scalable AI solution architectures aligned to enterprise standards (security, governance, compliance).
Experience:7+ yearsEnterprise AIMachine learningGenerative AILLMOpsMLOpsRAGAgentic systems
Skills:Customer collaborationMentorshipThought leadershipAutonomyCollaboration
Tech Stack:Cloudera platformFoundation modelsContext engineeringFine-tuningSemantic searchRetrieval-Augmented Generation (RAG)Agentic workflowsLLMOpsMLOpsObservabilityModel servingMonitoringEvaluationAWSAzureGCPSparkIcebergNiFiNVIDIA GPUs

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