Interested in this AI/ML Engineer role at CDW?
Apply Now →Skills & Technologies
About This Role
Description
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW.
Job Summary
We’re looking for a strategic, results\-driven Senior Campaign Lead to lead the development and execution of high\-impact, integrated marketing campaigns and events. In this role, you will orchestrate cross\-functional programs that align digital, content, and event strategies to drive pipeline, elevate brand presence, and deepen customer engagement. The ideal candidate brings a strong command of the B2B tech buyer journey, sharp analytical instincts, and proven experience managing complex campaign initiatives in a matrixed environment.
What you’ll do
- Own the development and execution of full\-funnel, multi\-channel campaigns tied to business goals across key segments, industries, or product areas.
- Lead cross\-functional campaign teams—including performance marketing, field marketing, digital, and sales enablement—from strategy through execution.
- Drive alignment across content, digital, and events to create cohesive campaign experiences across the funnel.
- Serve as the strategic campaign lead for high\-priority GTM initiatives, power play launches, and revenue\-generating programs.
- Collaborate with leadership to shape campaign strategies that support company\-wide objectives and sales motions.
- Analyze campaign performance and business impact (MQLs, pipeline contribution, conversion rates, ROI), and recommend continuous improvements.
- Drive alignment with sales teams to ensure campaigns are actionable, measurable, and effective throughout the funnel.
- Mentor junior campaign team members and contribute to the development of best practices, playbooks, and scalable processes.
- Manage campaign budgets, timelines, agency/vendor partnerships, and resource allocation to ensure quality and efficiency.
- Collaborate with event marketing and field teams to incorporate virtual, field, and industry events into campaign plans.
- Shape event strategy by campaign stage (e.g., awareness webinars, mid\-funnel workshops, ABM executive events).
- Oversee event\-related deliverables including invitations, promotional plans, booth messaging, and follow\-up sequences.
- Analyze campaign \+ event performance and optimize based on engagement, lead quality, and pipeline contribution.
What we expect of you
Minimum basic requirements
- Bachelors degree and 5\+ years of experience in B2B marketing, preferably in a technology, SaaS, or enterprise software company OR 9\+ years of experience in B2B marketing, preferably in a technology, SaaS, or enterprise software company
- Proven success in developing and leading integrated marketing campaigns with measurable business results.
- Strong understanding of the B2B customer journey, segmentation, and account\-based marketing (ABM) strategies.
- Experience leading cross\-functional teams and influencing senior stakeholders across marketing, product, and sales.
- Deep expertise in campaign planning, content strategy, digital channels, and performance measurement.
- Exceptional communication, presentation, and stakeholder management skills.
- Highly organized, proactive, and adaptable with strong project management capabilities.
Preferred skills, experience and qualities
- Experience managing or mentoring team members.
- Background in industry\-specific or global campaign execution.
- Familiarity with intent data, lead scoring, and funnel velocity strategies.
- Hands\-on experience with marketing automation platforms (e.g., Marketo), CRM (e.g.,
- Salesforce), and analytics tools (e.g., Tableau, Power BI).
Pay range: $88,000 \- $126,200 depending on experience and skill set
Annual bonus target of 5% 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
As a leader, you will champion and be accountable for our vision of becoming an AI\-fluent organization. We expect leaders to model curiosity, encourage responsible AI adoption, and foster a culture of continuous learning. You don’t need deep technical expertise, but you should be comfortable exploring how AI can enhance strategy, decision\-making, and team performance. Your role includes guiding others in building confidence and capability with AI tools and practices, while promoting openness to experimentation and shared learning.
We make technology work so people can do great things.
CDW is a leading multi\-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S\&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.
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.
CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW’s goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review CDW's AI Applicant Notice.
Salary Context
This $88K-$126K range is above the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At CDW, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($107K) sits 36% below the category median. Disclosed range: $88K to $126K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
CDW AI Hiring
CDW has 7 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Chicago, IL, US, Vernon Hills, IL, US, Remote, US. Compensation range: $100K - $170K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.