Artificial Intelligence Engineer

Publicis Groupe ANZ; 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

Job summary

Publicis Groupe ANZ in Irving, Texas is looking for an AI Engineer to design and deploy machine learning systems that enhance Epsilon's products. This role involves collaboration with various teams to develop AI capabilities and contribute to significant projects.

Applicants should have over 4 years of relevant experience, solid foundations in machine learning, hands-on experience with Python and modern ML frameworks. Benefits include flexible time off, comprehensive health coverage, and professional development opportunities.

Qualifications

• 4+ years of experience building machine learning or AI-driven systems in 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.

Responsibilities

• Design, develop, and deploy machine learning and AI models that are reliable and scalable.
• Contribute to the development of generative AI and LLM-based solutions.
• Collaborate with cross-functional partners to embed AI capabilities into products.

Skills

Machine learning

AI systems

Python

Data structures

MLOps

Education

MS degree in Computer Science, AI, or ML

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

Overview

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

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

• 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)

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

Equity in Employment

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.

Salary

Base Salary: $73,500.00 - $136,500.00