AI Software Consulting Engineer

CDW

. Design, develop, integrate, and deploy artificial intelligence and machine learning solutions for clients .

Posted 11/12/2026full-timeRemote • United StatesMid-LevelSenior💰 $77,725 - $108,265 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and machine learning solutions, with a strong focus on client satisfaction and technical documentation. Proficient in integrating secure AI applications and MLOps capabilities while managing project timelines and deliverables.

Highest-signal resume keywords

Python DevelopmentAI/ML Solution ImplementationREST API IntegrationNVIDIA NIM and BlueprintsMLOps Capabilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData Pipeline DevelopmentModel InferenceContainerizationKubernetesLinuxGitCI/CDTechnical DocumentationAnalytical Problem Solving

Soft Skills

Strong Written CommunicationVerbal CommunicationAttention to DetailAbility to Balance Competing PrioritiesClient Interaction

Tools & Technologies

NVIDIA AI EnterprisePyTorchHugging FaceLangChainLangGraphVector DatabasesModel GatewaysAI ObservabilityEvaluation FrameworksPrompt-Management Tooling

Certifications & Qualifications

NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL)NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM)

Industry Keywords

Artificial IntelligenceMachine LearningMLOpsGenerative AIAgentic AIRetrieval-Augmented GenerationEnterprise EnvironmentsGPU InfrastructureCUDA DependenciesModel Lifecycle Considerations

Tech Stack

Tools & technologies

KubernetesLinuxPythonPyTorch

About the role

Key responsibilities & impact

Design, develop, integrate, and deploy artificial intelligence and machine learning solutions for clients
Provide high-quality deliverables and ensure solutions are implemented as designed to client satisfaction and approval
Gain a clear understanding of client requirements, data and application environments, and operational constraints
Deliver secure, supportable AI applications and MLOps capabilities
Manage time and expense to meet or exceed Statement of Work expectations
Escalate potential scope, schedule, or budget issues proactively
Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and enterprise integrations
Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components
Build and execute tests for functionality, performance, reliability, security, and operational handoff
Troubleshoot software, model, API, data, container, and platform integration issues
Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation
Create and maintain project documentation, as-built configurations, test plans, work logs, and client handoff materials
Transfer knowledge to client technical teams
Travel to CDW locations or client sites as needed

Requirements

What you’ll need

Bachelor's degree and 3 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support
Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation
Experience developing or integrating REST APIs, services, data pipelines, or event-driven components
Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments
Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations
Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks
Ability to implement secure integrations with enterprise identity, data, application, and observability services
Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients
Proven ability to create technical documentation and transfer knowledge to client technical teams
Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines
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 delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus
Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus
Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus
Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus

Benefits

Comp & perks

Annual bonus target of %10 subject to terms and conditions of plan
Benefits provided through CDW’s benefits program
Remote work arrangement