Principal Consulting Engineer - HI

The Principal AI Software Consulting Engineer ensures advanced artificial intelligence, machine learning, and MLOps solutions are designed and implemented to the client’s satisfaction and approval. This client-facing role makes innovative contributions to solution design and implementation based on an understanding of AI software architecture, accelerated infrastructure, hardware-software tradeoffs, security, operations, and business outcomes. The position provides oversight and project guidance, leads complex customer engagements, advises executives and stakeholders, and helps mature the AI Factory practice through standards, repeatable offerings, reference architectures, and technical leadership.

Define project strategies and technical options that balance customer goals, architectural requirements, delivery risk, operational readiness, and financial constraints.  Provide leadership and expert advice on enterprise AI architecture, generative AI, agentic systems, MLOps, model serving, integration, governance, and accelerated infrastructure.  Regularly interface with client technical and business executives, project leadership, partners, and internal stakeholders to communicate complex ideas, anticipate objections, and align expectations.  Lead architecture reviews, technical governance, escalation management, solution validation, and quality oversight for complex AI engagements.  Support strategic sales pursuits through discovery, solution shaping, proposals, SOWs, ROMs, LOEs, presentations, and executive workshops.  Develop standards, best practices, training, and technical guidance that equip teams for consistent and successful AI software implementations.  What we expect of you: Bachelor’s degree and 6 years of hands-on software, data, infrastructure, or AI solution experience, including three years of consulting experience with large enterprises and cross-functional projects OR 10 years of hands-on software, data, infrastructure, or AI solution experience, including three years of consulting experience with large enterprises and cross-functional projects Provides leadership and expert advice on AI software architecture and solution design to clients, the Hybrid Infrastructure team, and extended CDW teams.  Recognized by clients, peers, and management as a subject matter expert who remains current in AI technologies, enterprise architecture, and industry transformation.  Maintains client relationships as a trusted technical advisor and serves as a focal point for communication among consultants, partners, and client stakeholders.  Demonstrated experience architecting 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.  Demonstrated understanding of GPU infrastructure and the hardware software tradeoffs that affect AI performance, scalability, reliability, and cost.  Proven ability to research advanced and complex technology solutions, evaluate alternatives, make recommendations, and present materials that meet enterprise client needs.  Excellent written, presentation, and verbal communication skills, including demonstrated experience presenting technology recommendations from a business perspective.  Demonstrated ability to act calmly and productively when confronted with change, ambiguity, and risk and to engage appropriate leadership proactively.  Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.  Ability and willingness to travel as needed to CDW locations or client sites.  Valid U.S. driver’s license.  Practice Leadership and Development   Define and maintain AI Factory software engineering standards, delivery methodologies, architecture