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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Consulting Engineer - **Company:** CDW - **Location:** United States - **Experience:** Experienced - **Salary:** $77,725 - $108,265 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Nvidia CUDA, Continuous Integration, Linux, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Systems Integration, Enterprise Data Management, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Software Troubleshooting, Generative AI, Agentic-AI, Git, AI Platforms, Kubernetes, HuggingFace, Machine Learning Operations, Hardware Infrastructure, Nim (Programming Language), Restful APIs, Software Version Control, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://diversityjobs.com/career/18928717/Ai-Software-Consulting-Engineer ## About the Role *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., We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances-not replaces-human creativity and decision-making. You don't need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work. ## Description The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client's satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities. What You Will Do *Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known. *Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources. *Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements. *Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables. *Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments. *Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested. *Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.