Artificial Intelligence Engineer

UNAVAILABLE; Irving (TX); On-site; USD 73,500 - 136,500; Full time

Benefits offered by this job

Flexible time off

Paid sick time

Comprehensive health coverage

401(k)

Tuition assistance

Childcare assistance

Job summary

Epsilon, a leading global data, technology, and services company, is seeking an AI Engineer responsible for building AI capabilities that impact Epsilon’s products. In this role, you will design and develop AI models with a focus on generative AI and intelligent automation.

Ideal candidates will have 4+ years of experience in AI-driven systems, proficiency in Python, and familiarity with cloud environments. The company offers a salary range of $73,500 - $136,500, along with generous benefits including flexible time off and health coverage.

Qualifications

• 4+ years of experience building machine learning or AI-driven systems in production.
• Strong foundations in machine learning, statistics, and data structures.
• Hands-on with modern ML frameworks and production-grade engineering.

Responsibilities

• Design, develop, and deploy machine learning and AI models.
• Contribute to generative AI and LLM-based solutions.
• Collaborate with partners to embed AI capabilities.

Skills

Machine learning

AI-driven systems

Python

Problem-solving

Statistics

Software engineering

Education

MS degree in Computer Science, AI, or ML

Tools

PyTorch

TensorFlow

JAX

AWS

Azure

GCP

Job description

Job Description

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

• 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)

Additional Information

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.

Company Overview & Benefits

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. We process 400+ billion consumer actions each day using advanced AI. We are an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on protected characteristics. Epsilon will provide accommodations to applicants needing accommodations to complete the application process.

Benefits

• 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.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local ordinances. Applicants with criminal histories are welcome to apply.

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