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Computer Science Artificial Intelligence Jobs in Austin, TX

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

Job Summary : webAI is pioneering the future of artificial intelligence by establishing the first ... Computer Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in ...

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

Master's degree in Information Technology, Computer Science, Artificial Intelligence, Software Engineering, or a related field. Deep understanding of enterprise financial operations, transaction ...

PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Applied Mathematics, Data Science, or a closely related technical field * 8+ years of professional ...

What we need to see: * BS or higher degree in computer science, computer engineering, or a related ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Job Summary : webAI is pioneering the future of artificial intelligence by establishing the first ... or Master's in Computer Science or Software Engineering. Company : The leader in private AI.

Showing results 41-60

Computer Science Artificial Intelligence information

See Austin, TX salary details

$50K

$110.3K

$136.3K

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

As of Aug 9, 2026, the average yearly pay for computer science artificial intelligence in Austin, TX is $110,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $135,800.00 per year, depending on experience, location, and employer.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, finance, healthcare, and autonomous vehicles actively hiring for these positions.

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 computer science artificial intelligence, 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 is a computer science artificial intelligence?

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 are the most commonly searched types of Computer Science Artificial Intelligence jobs in Austin, TX? The most popular types of Computer Science Artificial Intelligence jobs in Austin, TX are:
What job categories do people searching Computer Science Artificial Intelligence jobs in Austin, TX look for? The top searched job categories for Computer Science Artificial Intelligence jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computer Science Artificial Intelligence jobs? Cities near Austin, TX with the most Computer Science Artificial Intelligence job openings:
Infographic showing various Computer Science Artificial Intelligence job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $110,338 per year, or $53 per hour.

AI & GenAI Data Scientist-Senior Associate

Pwc

Austin, TX • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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