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Computer Science Artificial Intelligence Jobs in Texas

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 ...

D. in fields such as Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical area. * Minimum 20 years of semiconductor proven ...

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Computer Science Artificial Intelligence information

See Texas salary details

$47K

$103.7K

$128.1K

How much do computer science artificial intelligence jobs pay per year?

As of Jul 18, 2026, the average yearly pay for computer science artificial intelligence in Texas is $103,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $127,600.00 per year, depending on experience, location, and employer.

Can AI take computer science jobs?

Artificial Intelligence (AI) can automate certain tasks within computer science roles, such as coding, data analysis, and system management, but it is unlikely to fully replace professionals in these positions. AI tools often require human oversight, programming, and interpretation, making computer science jobs still essential for development, maintenance, and ethical considerations.

What does a typical day look like for someone working in Computer Science Artificial Intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in the Computer Science Artificial Intelligence position, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What can you do with a computer science degree in AI?

A computer science degree in AI prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, or research scientist. These roles involve developing algorithms, building models, and applying AI techniques across industries like healthcare, finance, and technology, often requiring knowledge of programming languages such as Python and tools like TensorFlow or PyTorch.

What is the salary of CS in AI?

The salary for a Computer Science professional working in Artificial Intelligence varies based on experience, location, and education, but entry-level AI roles typically start around $70,000 to $100,000 annually, with experienced specialists earning over $150,000. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow can influence compensation.

What is a Computer Science Artificial Intelligence job?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Texas? The most popular types of Computer Science Artificial Intelligence jobs in Texas are:
What cities in Texas are hiring for Computer Science Artificial Intelligence jobs? Cities in Texas with the most Computer Science Artificial Intelligence job openings:
Infographic showing various Computer Science Artificial Intelligence job openings in Texas as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,733 per year, or $49.9 per hour.

Artificial Intelligence Engineer

Epsilon

Irving, TX

$73K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 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.