CDW
CDW
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.

Senior AI Software Consulting Engineer

Lead AI and MLOps client projects at CDW, from solution architecture through delivery. Guide engineers and deliver secure, scalable production systems.

Description

  • Lead technical design and delivery for complex AI software, generative AI, agentic AI, model serving, and MLOps projects.
  • Engage client technical and business stakeholders, project sponsors, architects, and delivery leaders throughout complex engagements.
  • Coordinate with professional services managers, architects, project managers, sales teams, partners, and clients to align expectations and manage risks, decisions, and timelines.
  • Act as the technical contact for customer projects, advising on application architecture, integration, security, observability, evaluation, and operational readiness.
  • Mentor engineers in software design, development, testing, troubleshooting, documentation, and client delivery practices.
  • Contribute to sales efforts through discovery, solution validation, proposals, statements of work, estimates, and presentations.
  • Maintain project records, including as-built configurations, test plans, work logs, and client handoff materials.

Requirements

  • Bachelor’s degree plus five years delivering complex software, data, or AI/ML solutions across planning, development, implementation, integration, and support; or nine years of such experience.
  • Demonstrated ability to design and lead implementation of production-grade AI applications and MLOps solutions.
  • Advanced software development experience with Python, APIs, containers, Kubernetes, Git, automated testing, and CI/CD.
  • Experience with NVIDIA NIM, NVIDIA Blueprints, model-serving platforms, PyTorch, Hugging Face, or comparable AI software ecosystems.
  • Experience designing retrieval-augmented generation, vector search, agentic workflows, enterprise integrations, and evaluation approaches.
  • Working knowledge of model optimization, inference patterns, security, observability, data governance, and production operations.
  • Understanding of GPU infrastructure and accelerated computing dependencies, and how software architecture choices affect performance and scalability.
  • Ability to research advanced technologies, assess alternatives, make recommendations, and present findings to clients and management.
  • Strong written, presentation, and verbal communication skills, including explaining technical recommendations in business terms.
  • Ability to balance competing priorities, lead through ambiguity, and raise risks with clear alternatives and impacts.
  • Willingness and ability to work beyond scheduled shifts, on select weekends, or overtime to meet operational needs.
  • Willingness and ability to travel as needed to CDW locations or client sites.
  • Valid U.S. driver’s license.
  • Experience leading enterprise generative AI, agentic AI, fine-tuning, distributed inference, or advanced MLOps implementations is a plus.
  • Experience with vector databases, AI gateways, observability, evaluation frameworks, guardrails, and model lifecycle platforms is a plus.
  • Experience integrating AI solutions with enterprise applications, identity platforms, data estates, and security controls is a plus.
  • NVIDIA certifications aligned to the role, such as NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL) or NVIDIA-Certified Professional Agentic AI (NCP-AAI), are preferred.

Benefits

  • Annual bonus target of 10%, subject to plan terms and conditions.
  • Benefits overview available at https://cdw.benefit-info.com/

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