ZipRecruiter

Log In

1

Artificial Intelligence Developer Jobs in Texas (NOW HIRING)

SQDM

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Bellevue, WA (Hybrid - 3 days/week) or Remote Role Overview We're building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You'll ...

Akerman

Director of Artificial Intelligence

Dallas, TX · On-site

Akerman LLP, an AmLaw 100 firm, is seeking a hands-on Director of Artificial Intelligence to lead ... Build, mentor, and manage a small team of engineers and/or AI specialists as the function grows.

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence Developer JobsArtificial Intelligence Developer Jobs in Texas

Artificial Intelligence Developer information

See Texas salary details

$27.7K

$106.7K

$163.1K

How much do artificial intelligence developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for artificial intelligence developer in Texas is $106,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,829.00 and $135,432.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

What are popular job titles related to Artificial Intelligence Developer jobs in Texas? For Artificial Intelligence Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Developer jobs in Texas look for? The top searched job categories for Artificial Intelligence Developer jobs in Texas are:
Artificial Intelligence Developer jobs near you
Infographic showing various Artificial Intelligence Developer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,694 per year, or $51.3 per hour.

USA_Artificial Intelligence Engineer

SQDM

Frisco, TX • On-site

$114K - $151K/yr

Full-time

Re-posted 29 days ago

Job description

Location: Bellevue, WA (Hybrid - 3 days/week) or Remote
Role Overview
We're building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You'll help turn generative AI ideas into production-ready features, architect and ship AI-powered agents, and influence the long-term technical direction of our AI roadmap. You'll work closely with our existing product stack (Ruby on Rails + React) and leverage AWS AI infrastructure to deliver scalable, secure, high-performing systems.
Key Responsibilities
AI Agent Development
  • Design, build, and maintain intelligent, autonomous, or conversational AI agents to automate workflows and improve user productivity.
  • Implement agentic patterns and orchestration for real-world product use cases.

AI/ML System Development (End-to-End)
  • Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications using AWS AI services and open-source frameworks.
  • Own the AI lifecycle from concept and design through deployment, monitoring, and iteration.

Full-Stack Integration
  • Partner with backend (Ruby on Rails) and frontend (React) engineers to integrate AI-driven capabilities into the core product experience.
  • Build APIs/services that support reliable AI features and excellent UX.

Data Pipeline Management
  • Develop and manage robust pipelines for ingestion, processing, and transformation of real estate datasets to support model training and inference.
  • Ensure data quality, lineage, and consistency across workflows.

Performance Monitoring & Optimization
  • Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency, and cost efficiency.
  • Establish best practices for observability and performance tracking.

Collaboration & Technical Leadership
  • Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.
  • Contribute to coding standards, mentor peers, and help shape the long-term AI technical roadmap.

Innovation & Applied Research
  • Evaluate and apply new technologies in LLMs, Retrieval-Augmented Generation (RAG), and agentic AI to solve complex problems.

Qualifications (Required)
  • Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in AI/ML or software engineering roles with exposure to production-grade AI systems.
  • Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain (or equivalents).
  • Hands-on experience deploying AI models/services in a cloud environment (AWS preferred).
  • Strong understanding of data structures, algorithms, and distributed systems design.
  • Solid grasp of LLMs, Generative AI, and RAG methodologies.
  • Excellent collaboration skills and a track record of delivering results in cross-functional teams.

Preferred (Nice to Have)
  • Experience integrating AI into web applications built on Ruby on Rails and React.
  • Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Weaviate).
  • Exposure to MLOps tools and best practices (e.g., SageMaker, MLflow, CI/CD, model monitoring).
  • Interest in real estate or property technology (PropTech) applications.

Departamento Operaciones Puesto Desarrollador Ubicaciones SQDM - Digitech Estado remoto Híbrido

Apply