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CDW
CDW
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CDW provides technology products and services for enterprises, government organizations, healthcare providers, and educational institutions. Its work spans IT infrastructure, managed services, cybersecurity, cloud computing, digital workspaces, and broader enterprise solutions. By working with leading technology brands, CDW helps organizations design and manage technology environments that support productivity, security, and digital transformation across a range of industries.
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Principal Consulting Engineer, Enterprise AI

Lead enterprise AI architecture and delivery for CDW, spanning generative AI, agentic systems, MLOps, and accelerated infrastructure. Shape client engagements, technical standards, strategic sales work, and development of CDW’s AI Factory practice.

USUnited States
$164,000 – $240,800 / year
RemoteFull-timeLeadEnglish RequiredEngineer
KubernetesPython

Description

  • Set project strategy and recommend technical approaches that balance client goals, architecture, delivery risk, operational readiness, and financial constraints.
  • Advise on enterprise AI architecture, including generative and agentic systems, MLOps, model serving, integration, governance, and accelerated infrastructure.
  • Work with client business and technical executives, project leaders, partners, and internal stakeholders.
  • Oversee architecture reviews, technical governance, escalations, solution validation, and quality for complex AI engagements.
  • Contribute to strategic sales pursuits through discovery, solution design, proposals, SOWs, ROMs, LOEs, presentations, and executive workshops.
  • Create implementation standards, best practices, training, and technical guidance for AI software solutions.
  • Set and maintain AI Factory engineering standards, delivery methods, architecture patterns, and quality practices.
  • Build repeatable AI Factory services, accelerators, deployment frameworks, and reference architectures.
  • Assess emerging AI technologies, tools, and partner ecosystems to inform technical direction and investment priorities.
  • Improve consistency, quality, and scalability across AI software engineering engagements.
  • Mentor consulting and senior engineers, architects, and technical leads.
  • Coordinate with sales, architecture, delivery, and practice leaders on service strategy and go-to-market offerings.
  • Represent CDW as a technical thought leader with strategic clients, partners, and industry communities.

Requirements

  • Bachelor’s degree and six years of hands-on software, data, infrastructure, or AI solutions experience, including three years consulting for large enterprises on cross-functional projects; or ten years of such hands-on experience, including three years of enterprise consulting on cross-functional projects.
  • Experience designing enterprise generative AI, agentic AI, RAG, model serving, MLOps, fine-tuning, or distributed inference solutions.
  • Advanced knowledge of NVIDIA NIM, NVIDIA Blueprints, NVIDIA AI Enterprise, Python, APIs, containers, Kubernetes, CI/CD, AI observability, evaluation, security, and production operations.
  • Understanding of GPU infrastructure and hardware-software tradeoffs that affect AI performance, scalability, reliability, and cost.
  • Ability to research complex technology solutions, assess alternatives, make recommendations, and present materials to enterprise clients.
  • Strong writing, presentation, and verbal communication skills, including the ability to frame technology recommendations for business audiences.
  • Ability to remain calm and productive amid change, ambiguity, and risk.
  • Willingness and ability to work outside regular shifts, on select weekends, or overtime as needed.
  • Willingness and ability to travel to CDW locations or client sites as needed.
  • Valid U.S. driver’s license.
  • Enterprise AI strategy, operating model, governance, application modernization, or large-scale AI transformation experience is a plus.
  • Experience aligning partners and technical strategy across NVIDIA, Microsoft, data, security, and software ecosystems is a plus.
  • Experience developing consulting offerings, intellectual property, architecture standards, technical enablement, or reusable delivery assets is a plus.
  • NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL) or NVIDIA-Certified Professional Agentic AI (NCP-AAI) certification is preferred.

Benefits

  • Annual bonus target of 10%, subject to the plan’s terms and conditions.
  • Benefits information is available at https://cdw.benefit-info.com/.
  • Collaborative work environment.
  • Support for professional growth.
  • Equal opportunity employer.

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