Job description

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: 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. 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. Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice. About Us CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities. As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next. Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

Requirements

Must-haves

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
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonkubernetesci/cd

Platform: workday
Effort: long