Applied AI Specialist

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $4.1M Venture Round on 2013-01

Consulting • Healthcare • Logistics

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Identify, validate, and establish technical conviction around high-impact private AI use cases. • Lead AI Discovery Workshops with strategic ecosystem providers to design and facilitate workshops. • Conduct deep technical and business discovery with enterprise customers for AI workloads. • Assess data architecture, governance requirements, infrastructure constraints, and security considerations for Private AI deployments. • Serve as a subject matter expert within your regional pod and develop regional domain leadership. • Develop lightweight proofs of concept, reference architectures, technical demonstrations, and solution frameworks. • Translate qualified opportunities into clear technical requirements, data specifications, success criteria, and architectural recommendations. • Document successful use cases, architectural patterns, and implementation frameworks.

🎯 Requirements

• Strong technical foundation in data science. • Hands-On AI Experience across machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI. • Proven success in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles. • Ability to evaluate data quality, governance, security, compliance, operational readiness, and infrastructure constraints. • Exceptional ability to engage technical and executive audiences and connect business outcomes with practical implementation strategies. • Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and modern AI development ecosystems. • Preferred: Experience working with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDs or accelerated computing platforms. • Experience delivering customer-facing workshops, design sessions, or architecture engagements. • Familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures.

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • 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 • Employee Resource Groups