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Ai Programmer Jobs in Texas (NOW HIRING)

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

H2O.ai

Principal AI Engineer

Dallas, TX · On-site

The Principal AI Engineer will design and implement end-to-end AI solutions for complex enterprise challenges, collaborating with cross-functional teams to ensure the delivery of high-quality AI ...

TEKEngineersInc

AI Engineer

Round Rock, TX · On-site

AI Engineer Location: Round Rock, Texas Work: On-Site Type: W2 Top Skills : Python artificial intelligence machine learning security devsecops threat model Description : Customer is looking for 3 AI ...

BravoTech

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

Senior AI Developer Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Senior AI Developer for a premier client. This role is ideal for a hands-on AI engineer ...

BIGDATAAPPTECH LLC

AI Engineer

Irving, TX · On-site

We are seeking a talented AI Engineer with hands-on experience building Generative AI applications and intelligent agent systems. The ideal candidate will have practical expertise working with Large ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

SWBC

AI Engineer

San Antonio, TX

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by building and deploying intelligent solutions that solve real business challenges. You'll work with ...

Swbc

AI Engineer

San Antonio, TX

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by building and deploying intelligent solutions that solve real business challenges. You'll work with ...

SWBC

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by building and deploying intelligent solutions that solve real business challenges. You'll work with ...

Citigroup, Inc.

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Lead AI Engineer, SVP (Hybrid) Role Overview We are seeking an AI-first Lead AI Engineer to define, architect, and deliver enterprise-scale AI solutions for Investment, Corporate, and Commercial ...

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All JobsAi Programmer JobsAi Programmer Jobs in Texas

Ai Programmer information

See Texas salary details

$11

$36

$64

How much do ai programmer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for ai programmer in Texas is $36.83, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $47.93 per hour, depending on experience, location, and employer.

What does an AI Programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

Which 3 jobs will survive AI?

AI programmers, healthcare professionals, and skilled tradespeople are expected to continue thriving as their roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve creativity, emotional intelligence, or physical tasks, making them more resilient to automation. Continuous learning and adapting to new tools can further enhance job security in these fields.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific programming languages may command higher salaries.

What are the key skills and qualifications needed to thrive in the Ai Programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

How can I become an AI programmer?

To become an AI programmer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in mathematics, particularly linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

What does a typical workday look like for an AI Programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

What are the most commonly searched types of Ai Programmer jobs in Texas? The most popular types of Ai Programmer jobs in Texas are:
What are popular job titles related to Ai Programmer jobs in Texas? For Ai Programmer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Programmer jobs in Texas look for? The top searched job categories for Ai Programmer jobs in Texas are:
What cities in Texas are hiring for Ai Programmer jobs? Cities in Texas with the most Ai Programmer job openings:
Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in Texas as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,614 per year, or $36.8 per hour.
Principal AI Engineer

Principal AI Engineer

h2o.ai

Dallas, TX • On-site

Full-time

Posted 4 days ago

Job description

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
For more information, visit www.h2o.ai.
About This Opportunity
We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.
This position is based in Dallas, Texas and requires onsite customer interfacing.
What You Will Do
Customer Engagement Leadership
  • Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes.
  • Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams.
  • Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership.
  • Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again.
  • Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust.
  • Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice.

Agentic AI & LLM Engineering
  • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows.
  • Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use.
  • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.
  • Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements.

End-to-End AI Application Development
  • Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment.
  • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.
  • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.
  • Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.

Team Collaboration & Delivery Excellence
  • Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan.
  • Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team.
  • Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery.
  • Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues.

What We Are Looking For
Experience & Background
  • 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.
  • Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them.
  • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.
  • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).
  • Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).

Skills & Capabilities
  • Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones.
  • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.
  • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.
  • Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications.
  • Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly.
  • Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving.

How to Stand Out From the Crowd
  • Kaggle or competitive ML experience.
  • Familiarity with H2O.ai products, Wave, or H2O Document AI.
  • Experience in financial services, healthcare, or other regulated industry AI deployments.
  • Exposure to tabular foundation models, AutoML, or enterprise ML platforms.
  • Prior experience in a customer-facing or field engineering role.

Why H2O.ai?
  • Market leader in total rewards
  • Remote-friendly culture
  • Flexible working environment
  • Be part of a world-class team
  • Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.
Please visit www.H2O.ai to learn more.
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About H2O.ai

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

Social media

Twitter

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