AI Software Consulting Engineer

Overview

Client-facing, billable role designing, developing, integrating and deploying AI and machine learning solutions for clients, ensuring they are implemented as designed to the client's satisfaction and approval.

What you'll 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.

What you'll need

• Bachelor's degree and 3 years' experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support, OR 7 years' 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.

Nice to have

• Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments.
• Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling.
• Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware.
• 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).

Details

• Remote, USA.
• Pay range: $77,725 - $108,265 depending on experience and skill set; salary ranges may be subject to geographic differentials.
• Annual bonus target of 10% subject to terms and conditions of plan.
• Travel as needed to CDW locations or client sites.
• Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary.