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Ai In Jobs (NOW HIRING)

Workato

Staff Domain Expert, AI in GTM

Palo Alto, CA · Remote

In this role, you will serve as the domain expertise and product management engine for Workato's GTM AI agents and apps -- translating deep knowledge of revenue operations, sales, and marketing ...

Workato

Staff Domain Expert, AI in GTM

Boston, MA · On-site

In this role, you will serve as the domain expertise and product management engine for Workato's GTM AI agents and apps - translating deep knowledge of revenue operations, sales, and marketing ...

Hippocratic AI

Staff AI Engineer

Menlo Park, CA · On-site

About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs ...

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How much do ai in jobs pay per year?

As of Jun 8, 2026, the average yearly pay for ai in in the United States is $212,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $185,000.00 and $238,500.00 per year, depending on experience, location, and employer.

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
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What cities are hiring for Ai In jobs? Cities with the most Ai In job openings:
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What job categories do people searching Ai In jobs look for? The top searched job categories for Ai In jobs are:
Ai In jobs near you
Infographic showing various Ai In job openings in the United States as of May 2026, with employment types broken down into 5% Locum Tenens, 1% Internship, 33% Full Time, 12% Part Time, 4% Temporary, and 45% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $212,979 per year, or $102.4 per hour.

Fellow for AI in Legal Practice

The University of Texas at Austin

Austin, TX • On-site

Full-time

Posted 12 days ago

University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

131st of 534 rated colleges and universities

Job description

Description
The AI Innovation & Law Program at Texas Law invites applications to become our Fellow for AI in Legal Practice, working directly with the the head of the Program (Kevin Frazier) and the Dean (Bobby Chesney) in order to lead the Program's work relating to the adoption of AI tools in legal practice and the implications of that adoption for legal education.
The Fellow for AI in Legal Practice will have primary responsibility for monitoring the jagged frontier of AI tool adoptions across various lanes of legal practice, and for advising the dean on how best to translate those insights into sensible innovations (curricular and extracurricular) for our educational program and for the upskilling of faculty and staff. The Fellow will have teaching responsibilities focused on these matters, and will be expected to play an important role in the larger life of the AI Innovation and Law Program. Among other things, this will include orchestration of an AI Legal Practice Lab in which the Fellow and students will test and report on the capabilities of various practice-related AI tools. Creativity and entrepreneurship in this role is strongly encouraged. The Fellow also will play a leading role for the program with respect to engagement with the legal tech community.
Qualifications
The successful candidate will have a J.D. and demonstrable expertise with respect to AI in general, the legal tech industry, and the ongoing evolution of AI adoption in various lanes of legal practice. The candidate ideally will have teaching experience (with the ability to provide student evaluations for such courses); strong public speaking/communication skills; experience with curriculum development; comfort working collaboratively with the dean, the program lead, and all the members of our community (faculty, students, and staff) no matter their preexisting level of comfort with technology.
Application Instructions
Please include the following with your application
  • Cover letter (4 pages maximum)
    1. (1) describe your background in relation to this topic
    2. (2) explain in detail why you are interested in this job in particular
    3. (3) share your current understanding of AI adoption in legal practice and its implications for legal education (in the short and long terms)
    4. (4) share your thoughts on what courses, trainings, and other activities you might wish to implement if you have this role.
  • Complete CV
  • Law School Transcript

Applications will be considered on a rolling basiswith the intention is of starting the fellowship in time for the 2026-27 Academic Year.

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