Find & Apply For Artificial Intelligence Engineer Jobs in Vernon Hills, Illinois

The Role Leads the design, integration, and delivery of production-grade AI, generative AI, agentic AI, and MLOps solutions for clients. Serves as technical lead, translates requirements into scalable architectures, mentors engineers, manages technical risks and timelines, supports sales proposals, and presents recommendations to stakeholders. Responsibilities include application integration, security, observability, evaluation, model serving, documentation, testing, and operational readiness. Summary Generated by Built In 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: 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. 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. Read Full Description Skills Required Bachelor's degree and 5 years of experience delivering complex software, data, or AI/ML solutions, or 9 years of equivalent experience Experience designing and leading production-grade AI applications and MLOps implementations Advanced software development experience with 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 of GPU infrastructure and accelerated computing dependencies Ability to research technologies, evaluate alternatives, make recommendations, and present findings Strong written, presentation, and verbal communication skills Ability to balance competing priorities, lead through ambiguity, and escalate risks Ability and willingness to work beyond regular shifts, weekends, or overtime as needed Ability and willingness to travel to CDW locations or client sites as needed Valid U.S. driver's license Experience leading enterprise generative AI, agentic AI, fine-tuning, distributed inference, or advanced MLOps implementations Experience with vector databases, AI gateways, observability, evaluation frameworks, guardrails, and model lifecycle platforms Experience integrating AI solutions with enterprise applications, identity platforms, data estates, and security controls NVIDIA-Certified Professional Generative AI LLMs or NVIDIA-Certified Professional Agentic AI certification What the Team is Saying Phil Practice Vice President To future proof our AI strategy, I think about it like software development. If we have legacy code that's 30 years old sitting there (technical debt) that's not good. So I think just a constant practice of updating your estate or remodeling your home to make sure you're using the latest and greatest is going to help you stay at the forefront of AI Phil Practice Vice President To future proof our AI strategy, I think about it like software development. If we have legacy code that's 30 years old sitting there (technical debt) that's not good. So I think just a constant practice of updating your estate or remodeling your home to make sure you're using the latest and greatest is going to help you stay at the forefront of AI Mason Sales Intern The culture at CDW is one of the most supportive and positive environments I've been part of. From the first week, I could tell that people genuinely want to help each other succeed. Everyone I met, from fellow interns to senior leaders, made it clear that collaboration and teamwork are at the heart of CDW's values. Kevin Denison Director, Strategic Initiatives — U.S. Commercial My favorite thing about my role is being involved in so many cross functional workstreams that are focused on transforming our business for the future. Drew Bills Senior Manager in Corporate Communications My favorite thing about CDW's evolution over the years has been its ability to continuously adapt and innovate while staying true to its core values. Cody Weaver Technical Architect The most rewarding part of being a Technical Architect at CDW is bringing everything together. Every day, countless people here make impactful changes, driving growth and excellence. I take pride in being the "glue" that unites these efforts, creating scalable solutions for hundreds or thousands of customers. Cole Barroso Account Representative Everyone wants to see each other succeed and will do what they can to help you out, all you have to do is ask. Alexyn Steiner Corporate Account Representative CDW really does feel like a family because of such deep connections and having so many people looking out for you. Mike Nolan Account Manager, K-12 CDW has provided me with stability, security, and generous compensation, and it was the best move I could have made. Ebony Thomas Account Manager, Higher Education Working for a company that is always expanding and changing can be challenging... but that is also motivating because there is endless potential and opportunity if you get after it! Christine A. Leahy Chair and Chief Executive Officer Social Impact is an important driver of CDW's culture and success. We can't do this work in isolation, so we collaborate with coworkers, nonprofit partners and the community to advance digital opportunity for all. I am incredibly proud of our coworkers and excited about our future path. Let's make amazing happen! JJ Wilson Summer Intern I pursued the internship at CDW for many reasons: the robust learning environment, the unparalleled networking opportunities, the culture full of innovation and camaraderie. It's very much unique and unmatched Melissa Betancur ACE Intern & Program Lead Coordinator CDW's internship program is going to be distinguished by its emphasis on professional development, mentorship, and meaningful work all within a culture of inclusivity as well as innovation Jessica Coil Security Orchestration Lead When I think back to early in my career, it is so important to find a company that will encourage your growth and your development. That is something that I think CDW delivers on in a great way. If you see an opportunity for improvement, or if you want to learn something that's going to help the team, you're able to do so. CDW Compensation & Benefits Highlights Healthcare Strength — Healthcare options are broad, including medical, dental, vision, prescription coverage, mental‑health resources, and FSA/HSA programs. Retirement Support — Long‑term savings are emphasized through a 401(k), profit sharing, deferred compensation, and financial‑planning resources, with an employee stock purchase plan also available. Parental & Family Support — Family-oriented benefits include parental and family leave, adoption assistance, childcare resources, and fertility-related support. Learn more about CDW's Compensation & Benefits → CDW Insights What's It Like to Work at CDW? CDW Culture & Values CDW Career Growth & Development What's the Work-Life Balance Like at CDW? CDW Leadership & Management CDW Company Growth, Stability & Outlook View all jobs at CDW View CDW Profile Report Job