AI Platform Consultant

Phoenix, NM - USA

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

AI Platform Consultant (NetApp AI Pod On-Prem)

Phoenix AZ

Contracted

Mid Level

Overview

Our client is deploying a NetApp AI Podbased platform to support LLM applications (RAG/Agents) and GPU-based training/inference in an on-premise environment. We are seeking an experienced AI Platform Consultant with deep expertise in non-Microsoft-first AI development enterprise AI integration and GPU-optimized infrastructure.

This role will lead a 46 week discovery and pilot phase followed by implementation and production hardening of an AI platform designed to operate in regulated and security-sensitive environments.

Key Responsibilities

Lead a discovery phase to assess client use cases data readiness and AI platform requirements.

Design and implement on-premises AI solutions leveraging NetApp AI Pod for LLM applications Retrieval-Augmented Generation (RAG) and inference pipelines.

Configure and optimize GPU environments for training and inference workloads.

Build and validate AI/ML pipelines ensuring scalability resilience and compliance with government/regulatory standards.

Collaborate with infrastructure and security teams to integrate AI systems with existing enterprise environments.

Provide documentation knowledge transfer and a Statement of Work (SOW) deliverable outlining scope milestones and transition plan.

Support production hardening and performance tuning post-pilot.

Required Skills & Qualifications

7 years of experience in AI/ML solution design and deployment preferably in on-premises or hybrid cloud environments.

Strong expertise in LLM-based applications (RAG agents fine-tuning inference pipelines).

Hands-on experience with GPU infrastructure (NVIDIA CUDA TensorRT).

Familiarity with NetApp AI Pod or similar storage/compute AI reference architectures.

Strong background with non-Microsoft AI ecosystems (Hugging Face PyTorch TensorFlow LangChain Kubernetes-based MLOps etc.).

Experience delivering AI projects for regulated industries (public sector healthcare finance or defense).

Excellent communication and stakeholder management skills.

Preferred Qualifications

Prior experience with government or public sector AI initiatives.

Familiarity with security/compliance frameworks (FedRAMP DoD SRG NIST HIPAA CJIS).

Enterprise consulting background with proven client references.

Clearance: Active DoD CJIS or equivalent preferred.

Engagement Structure

Phase 1 Discovery (46 weeks): Requirements gathering architecture design initial proof-of-concept.

Phase 2 Pilot (610 weeks): Build and validate AI workflows with NetApp AI Pod including training/inference pipelines.

Phase 3 Production Hardening: Optimize secure and scale solution with documentation and handover to client.

AI Platform Consultant (NetApp AI Pod On-Prem) Phoenix AZ Contracted Mid Level Overview Our client is deploying a NetApp AI Podbased platform to support LLM applications (RAG/Agents) and GPU-based training/inference in an on-premise environment. We are seeking an experienced AI Platform Consultant ...