Senior AI Software Consulting Engineer

• Lead the technical design and delivery of complex AI software, generative AI, agentic AI, model-serving, and MLOps engagements.
• Regularly interface with client technical and business stakeholders, project sponsors, architects, and delivery leadership on complex engagements.
• Work with professional services managers, architects, project managers, sales teams, partners, and clients to manage expectations, risks, decisions, and timelines.
• Serve as the technical point of contact for customer engagements and provide guidance on application architecture, integration, security, observability, evaluation, and operational readiness.
• Mentor engineers in software design, development, testing, troubleshooting, documentation, and customer delivery practices.
• Support sales activities by contributing to discovery, solution validation, proposals, SOWs, ROMs, LOEs, and presentations.
• Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.

What We Expect of You

• Bachelor’s degree and 5 years’ experience delivering complex software, data, or AI/ML solutions, including planning, development, implementation, integration, and support OR 9 years' experience delivering complex software, data, or AI/ML solutions, including planning, development, implementation, integration, and support
• Demonstrated ability to design and lead implementation of production-grade AI applications and MLOps solutions.
• Advanced software development experience using 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 GPU infrastructure, accelerated computing dependencies, and how software architecture decisions affect performance and scalability.
• Demonstrated ability to research advanced technologies, evaluate alternatives, make recommendations, and present findings to clients and management.
• Strong written, presentation, and verbal communication skills, including experience presenting technical recommendations from a business perspective.
• History of balancing competing priorities, leading through ambiguity, and escalating risks with clear alternatives and impacts.
• 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.

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