Applied AI Specialist

🔥 0 minutes ago

⛰️ Colorado, North Carolina, +2 more states – Remote

⛰️ Colorado – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $171k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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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

• Lead highly technical, hands-on AI discovery workshops with strategic ecosystem providers, including NVIDIA • Conduct technical and business discovery with enterprise customers to identify and scope high-value AI workloads • Assess data architecture, governance, infrastructure constraints, security considerations, and data gravity challenges for Private AI deployments • Serve as a subject matter expert within a regional pod and build strategic industry expertise • Develop proofs of concept, reference architectures, technical demonstrations, and solution frameworks • Translate qualified opportunities into technical requirements, data specifications, success criteria, architectural recommendations, and scoped outcomes for FDE handoff • Document successful use cases, architectural patterns, and implementation frameworks for reuse across customers, industries, and regions • Work with enterprise architects, data scientists, platform teams, business stakeholders, ecosystem partners, and Forward Deployed Engineer teams

🎯 Requirements

• Strong technical foundation in data science • Comfortable working directly with code, APIs, notebooks, development frameworks, and enterprise architectures • Practical experience building or supporting AI applications across machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI • Ability to discuss model architectures, training and evaluation methodologies, inference patterns, and production deployment considerations • Proven success in technical pre-sales, solution architecture, consulting, customer engineering, or similar enterprise technology 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 implementation strategies • Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and modern AI development ecosystems • Preferred: experience with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDS, or accelerated computing platforms • Preferred: experience delivering customer-facing workshops, design sessions, or architecture engagements • Preferred: experience moving AI projects from proof of concept into production environments • Preferred: familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures • Role is not eligible for immigration sponsorship

🏖️ Benefits

• Centralized platform support for cloud credentials, environment setup, and workshop preparation • Generous PTO Policy • 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