Senior AI Software Consulting Engineer

Job Summary

The Senior AI Software Consulting Engineer actively participates in the design, integration, and delivery of advanced artificial intelligence, machine learning, and MLOps solutions for clients. This client-facing, billable role serves as a technical lead on complex engagements, provides mentorship and guidance to engineers, and ensures solutions are implemented as designed to the client’s satisfaction and approval. The position translates business and technical requirements into secure, scalable, production-ready AI software architectures and implementation plans.

What You Will Do

•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.

Pay range: $107,300 - $150,180 depending on experience and skill set

Annual bonus target of %10 subject to terms and conditions of plan

Benefits overview: https://cdw.benefit-info.com/

Salary ranges may be subject to geographic differentials

CDW is committed to being an AI-fluent organization

We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools….