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Ai In Jobs in Texas (NOW HIRING)

AMSYS Talent

AI Product Delivery Lead

Houston, TX · On-site

Background in enterprise environments * PMP / Scrum / Product certifications W hat matters most * You're already using AI in your daily work * You can think product, break down problems, and drive ...

ADPMN Inc

AI Catalyst & Product Manager

Austin, TX · On-site

Required : • Experience in Product Management, Digital Transformation, Business Transformation ... AI product, AI-enabled workflow, or enterprise AI solution • Strong experience analyzing ...

Placer.ai

Production Engineer

Austin, TX · On-site +1

$190K - $210K/yr

AI : One of the fastest growing tech companies in North America, Placer.ai ("Placer") reached $100 million ARR "Centaur" status in 2024, within 6 years of launching the Placer platform. We previously ...

Placer.ai

Production Engineer

Austin, TX · On-site

$190K - $210K/yr

AI : One of the fastest growing tech companies in North America, Placer.ai ("Placer") reached $100 million ARR "Centaur" status in 2024, within 6 years of launching the Placer platform. We previously ...

Calpion/Plutus Health

Agentic AI Developer

Dallas, TX · On-site

$102K - $119K/yr

While we have a preference for candidates based in Dallas, Texas, we are open to hiring exceptional talent from anywhere across the globe. You will work at the intersection of AI, automation, and ...

Plutus Health

Agentic AI Developer

Dallas, TX

$102K - $119K/yr

While we have a preference for candidates based in Dallas, Texas, we are open to hiring exceptional talent from anywhere across the globe. You will work at the intersection of AI, automation, and ...

Gartner

Sr. Platform Product Manager, AI Platform

Irving, TX · On-site

$121K - $160K/yr

Work at the frontier of applied AI in enterprise, rethinking how humans interact with deep institutional knowledge. * Join a high-caliber, tight-knit product team that values rigorous thinking ...

Select Minds LLC

AI Testing Architect

Dallas, TX

$120K - $135K/yr

Virtual + In-Person (depends) Work Auth : Must be authorized to work in the U.S. Domain: Enterprise AI / Agentic AI / AWS Bedrock Compensation: Competitive, commensurate with experience We are hiring ...

Moonshot

Director, AI

Denton, TX

We are not just building for AI - we are becoming the premier adopter of AI in manufacturing. As Director of AI, you will own the strategy, governance, and vision for how Moonshot leverages AI across ...

NexPoint Advisors LP

AI Automation Engineer

Dallas, TX · On-site +1

Description NexPoint is a multibillion-dollar alternative investment firm based in Dallas, Texas ... Design and implement AI assisted automations leveraging LLMs and generative AI services within ...

Nexpoint

AI Automation Engineer

Dallas, TX · On-site

NexPoint is a multibillion-dollar alternative investment firm based in Dallas, Texas. The firm is ... Design and implement AI assisted automations leveraging LLMs and generative AI services within ...

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Ai In information

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 job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

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 is a $900,000 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 data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

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.
What are popular job titles related to Ai In jobs in Texas? For Ai In jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Texas look for? The top searched job categories for Ai In jobs in Texas are:
What cities in Texas are hiring for Ai In jobs? Cities in Texas with the most Ai In job openings:
Ai In jobs near you

Fellow for AI in Legal Practice

The University of Texas at Austin

Austin, TX • On-site

Full-time

Posted 18 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

130th of 537 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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