Forward Deployed AI Engineer

Cloudera
Bengaluru
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Thought leadership","Mentorship","Customer collaboration","Advisory","Problem-solving"]

Embed with Cloudera’s enterprise customers to design technical AI use cases and ship production-ready full-stack AI/ML applications on the Cloudera platform. Partner with customer teams from early prototype through deployment readiness, advise on AI roadmaps and solution design, and standardize winning approaches into reference architectures and starter kits. Share field learnings with Product to improve the AI platform and mentor teams as a thought leader in applied AI.

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FursaFursa
Cloudera
Cloudera
1 day ago

Forward Deployed AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Embed with Cloudera’s enterprise customers to design technical AI use cases and ship production-ready full-stack AI/ML applications on the Cloudera platform. Partner with customer teams from early prototype through deployment readiness, advise on AI roadmaps and solution design, and standardize winning approaches into reference architectures and starter kits. Share field learnings with Product to improve the AI platform and mentor teams as a thought leader in applied AI.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Develop full-stack AI/ML applications on Cloudera to demonstrate AI and agentic systems for real enterprise use cases.
  • •Work with customer teams to move AI/agentic use cases from early prototypes to production readiness.
  • •Advise customer leaders on AI roadmaps, solution design, deployment, and relevant AI use cases.
  • •Standardize successful solutions into repeatable reference architectures, productized offerings, starter kits, and internal playbooks.
  • •Channel field and customer feedback back to Product teams to continuously improve the AI platform and products.

Pay and Benefits

Perks:Paid VolunteerRemote WorkPaid Leave

Key Requirements

  • •7+ years building and deploying production-grade systems.
  • •2–4 years building ML systems or GenAI/agentic applications.
  • •Strong hands-on software engineering, data engineering, and applied AI/ML skills.
  • •Demonstrated experience building full-stack ML applications or agentic systems with modern AI frameworks and tooling.
  • •Experience advising on AI solution design, deployment, and use cases in enterprise environments.
Experience:7+ yearsEnterpriseAI/MLGenAIAgentic applications
Skills:Thought leadershipMentorshipCustomer collaborationAdvisoryProblem-solving
Tech Stack:ClouderaLangChainLlamaIndexVLLMRayMLflowVector DatabasesRetrieval-Augmented Generation (RAG)Apache SparkIcebergKubernetes

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