Principal Consulting Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish project strategies and technical options that align with customer objectives, architectural needs, delivery risks, operational readiness, and financial limitations.

• Offer leadership and expert guidance on enterprise AI architecture, generative AI, agentic systems, MLOps, model serving, integration, governance, and enhanced infrastructure.

• Collaborate with client technical and business executives, project leaders, partners, and internal stakeholders.

• Oversee architecture reviews, technical governance, escalation management, solution validation, and quality assurance for intricate AI engagements.

• Assist in strategic sales initiatives through discovery, solution development, proposals, SOWs, ROMs, LOEs, presentations, and executive workshops.

• Create standards, best practices, training, and technical support for AI software implementations.

• Define and uphold AI Factory software engineering standards, delivery methodologies, architectural patterns, and quality practices.

• Develop standardized AI Factory service offerings, accelerators, deployment frameworks, and reference architectures.

• Assess emerging AI technologies, tools, and partner ecosystems to inform technical direction and investment priorities.

• Ensure consistency, quality, and scalability in AI software engineering projects.

• Mentor consulting engineers, senior engineers, architects, and technical leads.

• Collaborate with sales, architecture, delivery, and practice leadership on service strategy and go-to-market initiatives.

• Represent CDW as a technical thought leader to strategic clients, partners, and industry communities.

⛳️ Requirements

• Bachelor’s degree and 6 years of practical experience in software, data, infrastructure, or AI solutions, which includes three years of consulting experience with large enterprises and cross-functional projects, OR 10 years of practical experience in software, data, infrastructure, or AI solutions, including three years of consulting experience with large enterprises and cross-functional projects.

• Proficiency in 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.

• Understanding of GPU infrastructure and the trade-offs between hardware and software that impact AI performance, scalability, reliability, and cost.

• Capability to research complex technology solutions, evaluate alternatives, formulate recommendations, and prepare materials for enterprise clients.

• Exceptional written, presentation, and verbal communication skills, including the ability to present technology recommendations from a business perspective.

• Ability to maintain composure and productivity in the face of change, ambiguity, and risk.

• Willingness to work beyond standard hours, including selected weekends or overtime as required.

• Ability to travel as necessary to CDW locations or client sites.

• Valid U.S. driver’s license.

• Experience in shaping enterprise AI strategy, operating models, governance, application modernization, or large-scale AI transformation programs is a plus.

• Experience in guiding partner alignment and technical strategy within NVIDIA, Microsoft, data, security, and software ecosystems is a plus.

• Experience in developing consulting offerings, intellectual property, architecture standards, technical enablement, or reusable delivery assets is a plus.

• Preferred NVIDIA certifications relevant to the role include NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL) and NVIDIA-Certified Professional Agentic AI (NCP-AAI), a plus.

🏝️ Benefits

• Annual bonus target of 10% subject to the terms and conditions of the plan.

• Benefits overview available at https://cdw.benefit-info.com/.

• Collaborative work environment.

• Supported professional growth opportunities.

• Commitment to equal opportunity employment.