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Artificial Intelligence Engineer Director Jobs (NOW HIRING)

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands ...

Senior Artificial Intelligence Engineer

Baytown, TX · On-site

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Showing results 21-40

Artificial Intelligence Engineer Director information

See salary details

$73K

$194.7K

$254K

How much do artificial intelligence engineer director jobs pay per year?

As of Aug 19, 2026, the average yearly pay for artificial intelligence engineer director in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Engineer Director vs Artificial Intelligence Engineer?

AspectArtificial Intelligence Engineer DirectorArtificial Intelligence Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; leadership experienceBachelor's or Master's in CS, AI, or related; technical skills
Work EnvironmentLeadership roles, strategic planning, team managementHands-on development, coding, model training
Employer & Industry UsageTech companies, R&D departments, startupsTech firms, research labs, AI startups
Common Search & ComparisonLeadership, strategy, managementTechnical skills, coding, model development

The main difference between an Artificial Intelligence Engineer Director and an Artificial Intelligence Engineer lies in their roles. The Director focuses on leadership, strategic planning, and managing AI teams, while the Engineer is primarily involved in technical development, coding, and building AI models. Both roles require strong technical backgrounds, but the Director also emphasizes management and organizational skills.

What cities are hiring for Artificial Intelligence Engineer Director jobs?

Cities with the most Artificial Intelligence Engineer Director job openings:

What are the most commonly searched types of Artificial Intelligence Engineer jobs?

The most popular types of Artificial Intelligence Engineer jobs are:

What states have the most Artificial Intelligence Engineer Director jobs?

States with the most job openings for Artificial Intelligence Engineer Director jobs include:

Artificial Intelligence Engineer

Epsilon

Irving, TX

$73K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

Overview
How You'll Make an Impact
As an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon's products, platforms, and client outcomes. You will work alongside product managers, platform engineers, and data teams to translate complex business problems into production-ready AI systems.
This role offers the opportunity to work on high-impact initiatives including generative AI, agentic workflows, and intelligent automation, while contributing to Epsilon's broader goals of innovation, operational excellence, and data-driven decision making.
Responsibilities
What You'll Achieve
  • Design, develop, and deploy machine learning and AI models that are reliable, scalable, and production-ready
  • Contribute to the development of generative AI and LLM-based solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning
  • Build and operate AI systems end-to-end, from experimentation and evaluation through deployment, monitoring, and iteration
  • Collaborate with cross-functional partners to embed AI capabilities into customer-facing products and internal platforms
  • Improve model performance, cost efficiency, and reliability through experimentation, tuning, and observability
  • Help establish and evolve best practices for AI engineering, MLOps, and responsible AI within the organization
  • Grow technically through exposure to modern AI frameworks, cloud-based ML platforms, and real-world enterprise use cases

Qualifications
Who You Are
  • What You'll Bring With You
    • 4+ years of experience building machine learning or AI-driven systems in real-world production environments
    • Strong foundations in machine learning, statistics, data structures, and software engineering
    • Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX
    • Proficiency in Python and experience applying production-grade engineering practices
    • Familiarity with cloud environments (AWS, Azure, or GCP) and deploying services at scale
    • Ability to work across the full AI lifecycle-from data exploration and modeling to deployment and monitoring
    • Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces
  • Why You Might Stand Out From Other Talent
    • Experience working with large language models (LLMs), generative AI systems, or agent-based architectures
    • Exposure to RAG pipelines, evaluation frameworks, or fine-tuning foundation models
    • Familiarity with MLOps tooling, CI/CD pipelines, model monitoring, or feature stores
    • Experience collaborating closely with product and platform teams on customer-facing AI features
    • MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Base Salary: $73,500.00 - $136,500.00
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
The application deadline for this job posting is 06/17/2026.
Additional Information
When You Join Us, We'll Create Something EPIC Together
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.
  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
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Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/19/2026.