1 day ago
Remote, United States or Washington, DC, USASenior
Base Salary
$171k - $200k/yr
Responsibilities
- Lead technical, hands-on AI discovery workshops with enterprise customers and strategic ecosystem partners such as NVIDIA.
- Discover, scope, validate, and prioritize production-ready private AI use cases tied to measurable business outcomes.
- Assess enterprise data architecture, governance, security, compliance, infrastructure constraints, and data readiness.
- Develop regional domain expertise and transfer successful AI patterns across customers and industries.
- 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 for Forward Deployed Engineering teams.
- Document reusable AI use cases, architectural patterns, and implementation frameworks.
Requirements
- Strong technical foundation in data science and comfort working with code, APIs, notebooks, development frameworks, and enterprise architectures.
- Practical experience building or supporting AI applications involving machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI.
- Experience with 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 discovery and solutioning roles.
- Ability to evaluate data quality, governance, security, compliance, operational readiness, and infrastructure constraints.
- Exceptional communication skills with technical and executive audiences.
- 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.
- Preferred: familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures.
Benefits
- Flexible work-from-home policy and remote designation.
- Generous paid time off and Unplugged Days.
- Mental and physical wellness programs.
- Phone and internet reimbursement program.
- Continued career development opportunities.
- Comprehensive benefits and competitive packages.
- Paid volunteer time and employee resource groups.
- Centralized workshop platform support and dedicated operational support for workshop environments.
- Opportunities to deepen industry expertise, influence go-to-market strategy, mentor practitioners, and help define the Applied AI operating model.
Tech Stack
NimPython
Categories
Solutions Engineering
About Cloudera
Cloudera builds the Cloudera Data Platform, an enterprise data stack for hybrid cloud and on‑premises environments that unifies data engineering, warehousing, streaming, and machine learning with governance. It sells subscriptions and managed services to large enterprises across regulated, data‑intensive industries. Founded in 2008 and headquartered in Santa Clara, the company was taken private in 2021 in a transaction led by Clayton, Dubilier & Rice (CD&R).