Applied AI Specialist

🔥 6 minutes ago

🏄 California, Colorado, +4 more states – Remote

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💵 $171k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Cloudera

Cloudera

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 requirements, infrastructure constraints, security considerations, and data gravity challenges • Serve as a subject matter expert within a regional pod and develop strategic industry expertise • Build lightweight 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 • Document successful use cases, architectural patterns, and implementation frameworks for reuse • Collaborate with enterprise architects, data scientists, platform teams, business stakeholders, ecosystem partners, and Forward Deployed Engineering teams • Identify, validate, and establish technical conviction around private AI use cases for production deployment

🎯 Requirements

• Strong technical foundation in data science • Comfortable working with code, APIs, notebooks, development frameworks, and enterprise architectures • Practical experience with machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI • Knowledge of model architectures, training and evaluation methodologies, inference patterns, and production deployment considerations • Proven experience 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 • Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and modern AI development ecosystems • 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 preferred • This role is not eligible for immigration sponsorship

🏖️ Benefits

• Commission plan for eligible sales roles • Corporate incentive plan for eligible non-sales roles • Comprehensive benefits package • Generous PTO Policy • Unplugged Days supporting work-life balance • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Continued Career Development • Competitive packages • Paid Volunteer Time • Employee Resource Groups

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