Applied AI Specialist

This is a fully remote position, open to applicants in Colorado, +3 more states.

📋 Description

• Facilitate advanced, hands-on AI discovery workshops with key ecosystem partners, including NVIDIA.

• Perform technical and business exploration with enterprise clients to pinpoint and define high-impact AI workloads.

• Evaluate data architecture, governance, infrastructure limitations, security factors, and data gravity issues for Private AI implementations.

• Act as a subject matter expert within a regional team and cultivate strategic industry knowledge.

• Create proofs of concept, reference architectures, technical demos, and solution frameworks.

• Convert qualified opportunities into technical specifications, data requirements, success metrics, architectural suggestions, and defined outcomes for FDE handoff.

• Record successful use cases, architectural models, and implementation frameworks for reuse across various customers, industries, and regions.

• Collaborate with enterprise architects, data scientists, platform teams, business stakeholders, ecosystem partners, and Forward Deployed Engineer teams.

⛳️ Requirements

• Strong technical background in data science.

• Comfortable engaging directly with code, APIs, notebooks, development frameworks, and enterprise architectures.

• Practical experience in building or supporting AI applications across machine learning, deep learning, computer vision, time-series analytics, predictive modeling, anomaly detection, and generative AI.

• Capability to discuss model architectures, training and evaluation methodologies, inference patterns, and production deployment considerations.

• Proven track record in technical pre-sales, solution architecture, consulting, customer engineering, or related enterprise technology roles.

• Ability to assess data quality, governance, security, compliance, operational readiness, and infrastructure limitations.

• Exceptional capacity to engage both technical and executive audiences and align business outcomes with implementation strategies.

• Experience with Python, APIs, cloud-native architectures, data pipelines, MLOps, and contemporary AI development ecosystems.

• Preferred: experience with NVIDIA AI Enterprise, NIMs, NeMo, RAPIDS, or accelerated computing platforms.

• Preferred: experience in delivering customer-facing workshops, design sessions, or architecture engagements.

• Preferred: experience transitioning AI projects from proof of concept to production environments.

• Preferred: familiarity with enterprise data platforms, governance frameworks, and hybrid cloud architectures.

• This 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.