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Artificial Intelligence Software Developer Jobs in Dallas, TX

Strong foundations in machine learning, statistics, data structures, and software engineering ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Bachelor's or advanced degree in Computer Science, Data Science , or a related field. * 5+ years of experience in AI/ML or software engineering roles with exposure to production-grade AI systems

Embeded Software Engineer

Irving, TX · On-site

$128K - $208K/yr

This position is for an Autonomy Engineering Development Specialist working in a Software Architect ... Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial ...

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Artificial Intelligence Software Developer information

See Dallas, TX salary details

$47.5K

$110.6K

$164.2K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for artificial intelligence software developer in Dallas, TX is $110,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $128,600.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities near Dallas, TX are hiring for Artificial Intelligence Software Developer jobs?

Cities near Dallas, TX with the most Artificial Intelligence Software Developer job openings:

Infographic showing various Artificial Intelligence Software Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,641 per year, or $53.2 per hour.

Artificial Intelligence Engineer

Irving, TX • On-site

Publicis Groupe Holdings B.V
Advertising and Public Relations Services • 10K+ employees

$73K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Design, develop, and deploy machine learning and AI models that are reliable, scalable, and production-ready

  • 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


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 53 rated marketing agency


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.
#LI-NA1
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. 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 9/30/2026.

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