Senior AI Software Consulting Engineer

CDW

. Lead the technical design and delivery of complex AI software, generative AI, agentic AI, model-serving, and MLOps engagements .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $107,300 - $150,180 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and delivery of complex AI software solutions, including MLOps and generative AI applications. Proficient in advanced software development practices and capable of mentoring teams while effectively communicating technical concepts to stakeholders.

Highest-signal resume keywords

AI Software DevelopmentMLOps ImplementationPython ProgrammingKubernetes ManagementClient Engagement

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Hard Skills

AI/ML Solutions DeliveryApplication ArchitectureIntegration PracticesAutomated TestingCI/CDModel OptimizationData GovernanceSecurity PracticesObservabilityProduction Operations

Soft Skills

Strong Communication SkillsMentoringRisk ManagementDecision MakingProblem Solving

Tools & Technologies

NVIDIA NIMNVIDIA BlueprintsPyTorchHugging FaceVector DatabasesAI GatewaysModel Lifecycle PlatformsAPIsContainersGit

Certifications & Qualifications

NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL)NVIDIA-Certified Professional Agentic AI (NCP-AAI)

Industry Keywords

Generative AIAgentic AIModel-ServingEnterprise IntegrationsEvaluation FrameworksRetrieval-Augmented GenerationDistributed InferenceAdvanced MLOpsGPU InfrastructureAccelerated Computing

Tech Stack

Tools & technologies

KubernetesPythonPyTorch

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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