Applied AI Specialist

Cloudera
Seattle
Workplace: RemoteFull timeUSD 171,000 - 200,000 annuallyFunction: Data Science & Machine LearningSkills: ["Executive communication","Technical communication","Data readiness assessment","Workshop facilitation","Technical discovery"]

Identify and validate high-impact private AI use cases for enterprise customers, translating opportunities into technical conviction and a clear engineering blueprint. Run hands-on AI discovery workshops with ecosystem partners like NVIDIA, assess enterprise AI readiness (data, governance, security, infrastructure), and develop proofs of concept and reference architectures. Partner with architects, data scientists, and platform teams to qualify workloads for production execution by FDE teams.

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FursaFursa
Cloudera
Cloudera
1 day ago

Applied AI Specialist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Identify and validate high-impact private AI use cases for enterprise customers, translating opportunities into technical conviction and a clear engineering blueprint. Run hands-on AI discovery workshops with ecosystem partners like NVIDIA, assess enterprise AI readiness (data, governance, security, infrastructure), and develop proofs of concept and reference architectures. Partner with architects, data scientists, and platform teams to qualify workloads for production execution by FDE teams.
Location: Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead highly technical hands-on AI discovery workshops with ecosystem providers (including NVIDIA) to identify and prioritize private AI opportunities.
  • •Conduct deep technical and business discovery to scope high-value AI use cases suitable for production deployment.
  • •Evaluate enterprise AI readiness by assessing data architecture, governance needs, infrastructure constraints, security considerations, and data gravity challenges.
  • •Develop lightweight proofs of concept, reference architectures, and technical demonstrations to validate feasibility before full implementation.
  • •Translate qualified opportunities into engineering requirements, data specifications, success criteria, architectural recommendations, and outcomes for handoff to FDE teams.

Pay and Benefits

Salary: USD 171,000 - 200,000 annually
Perks:Paid LeaveWellness StipendPhone ReimbursementVolunteer Time

Key Requirements

  • •Strong technical foundation in data science, comfortable working with code, APIs, notebooks, and enterprise architectures.
  • •Practical experience building or supporting AI applications across areas like machine learning, deep learning, computer vision, predictive modeling, anomaly detection, and generative AI.
  • •Experience in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles focused on discovery and qualification of complex enterprise initiatives.
  • •Ability to assess data readiness, governance, security/compliance, operational readiness, and infrastructure constraints for private AI deployments.
  • •Exceptional ability to communicate with both technical and executive audiences and connect business outcomes to implementation strategies.
Skills:Executive communicationTechnical communicationData readiness assessmentWorkshop facilitationTechnical discovery
Tech Stack:PythonAPIsNotebooksMachine learningDeep learningComputer visionTime-series analyticsPredictive modelingAnomaly detectionGenerative AIMLOpsCloud-native architecturesData pipelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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