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Ai Software Developer Jobs in Houston, TX (NOW HIRING)

Under direction, works collaboratively with industry experts, software developers, data specialists, project managers, and client stakeholders to design, build, and deliver AI-enabled software, data ...

... Software Developer , who is fueled by high accountability, execution horsepower, and driven to ... You will also be expected to thoughtfully leverage AI-assisted development tools to accelerate ...

Senior Software Developer

Houston, TX · On-site

$52 - $68.75/hr

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our ... Implement AI and ML models in collaboration with data science. * Participateand lead code reviews ...

Senior Software Developer

Houston, TX · On-site +1

$52 - $68.75/hr

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our ... Implement AI and ML models in collaboration with data science. * Participateand lead code reviews ...

Senior Software Developer

Houston, TX · On-site +1

$52 - $68.75/hr

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our ... Implement AI and ML models in collaboration with data science. * Participateand lead code reviews ...

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Showing results 1-20

Ai Software Developer information

See Houston, TX salary details

$45.8K

$106.8K

$158.5K

How much do ai software developer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for ai software developer in Houston, TX is $106,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $124,100.00 per year, depending on experience, location, and employer.

How much do AI software developers make?

AI software developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python often command higher salaries.

What are the key skills and qualifications needed to thrive as an AI software developer?

To thrive as an AI Software Developer, you need strong programming skills in languages such as Python or Java, a background in computer science or a related field, and a solid understanding of machine learning algorithms. Familiarity with frameworks like TensorFlow, PyTorch, and experience with data processing tools or cloud platforms is highly valued, while certifications in AI or machine learning can be advantageous. Creative problem-solving, collaboration, and effective communication are key soft skills that help you integrate complex solutions and work effectively within multidisciplinary teams. These competencies are crucial for developing, deploying, and maintaining innovative AI systems that deliver real-world value.

Will AI take AI software developer jobs?

AI software developers create and maintain AI systems, and their roles are less likely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing developers to focus on complex problem-solving and innovation. Continuous learning of programming languages, machine learning frameworks, and staying updated on AI advancements are important for job security in this field.

What is an AI software developer?

An AI Software Developer designs, develops, and implements artificial intelligence solutions, such as machine learning models, neural networks, and automation tools. They work with algorithms, big data, and programming languages like Python to build intelligent applications. Their responsibilities include data preprocessing, model training, testing, and deploying AI systems for various industries.

What are some common challenges faced by AI software developers in day-to-day work?

AI Software Developers often encounter challenges such as ensuring data quality and quantity, tuning complex models for optimal performance, and integrating AI components seamlessly into existing software systems. Balancing the need for accuracy with computational efficiency while addressing issues of scalability and maintainability can also be demanding. Additionally, they must continuously stay updated with rapidly evolving AI technologies and best practices. Overcoming these challenges requires adaptability, a passion for continuous learning, and close collaboration with data scientists, product managers, and other engineers.

Infographic showing various Ai Software Developer job openings in Houston, TX as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,759 per year, or $51.3 per hour.

Principal AI Software Engineering

Universal Consulting Partners Inc.

Texas City, TX • On-site

$70/hr

Other

Posted 4 days ago


Job description

Principal AI Software EngineeringIntroduction

We''re seeking a tech lead with 10+ years of experience in AI-driven software engineering to lead initiatives in Irving, TX. You''ll drive AI adoption, architecture, and best practices across cloud-native platforms and distributed systems. Expertise in AI coding tools, Java/Spring Boot, Python, and Kubernetes is required. You''ll mentor teams, partner with stakeholders, and contribute to engineering strategy. The role involves assessing AI platforms, defining standards, and integrating AI into the SDLC. You''ll lead workshops, drive innovation, and improve developer experience. Strong communication and problem-solving skills are a must. Max pay rate is $70/hr on C2C for local consultants only.

Responsibilities
  • Identify cloud capabilities and benchmark industry adaptation
  • Assess Kubernetes fit
  • Review ICS/ACT technologies (Remote Services, Minestar)
  • Challenge solutions and drive alternative architecture options
  • Partner with GIS, Security, and other teams on solution design
  • Evaluate and benchmark AI coding platforms
  • Define AI best practices, standards, governance, and adoption frameworks
  • Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise)
  • Design agentic, spec-driven, and autonomous development workflows
  • Measure developer productivity, quality, SDLC efficiency, and outcomes
  • Create reference architectures, implementation patterns, and guidance for AI-native development
  • Integrate AI into development lifecycle with architects, managers, product, and platform teams
RequirementsRequired Skills
  • Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools)
  • Java/Spring Boot
  • Python
  • Distributed systems
  • APIs and integration services
  • Cloud-native platforms
  • Software architecture and engineering best practices
  • Prompt engineering
  • Agentic development workflows
  • Engineering metrics and productivity measurement
  • Infrastructure and cloud
  • Docker, containers, Kubernetes
  • IT security, server/storage
  • Security standards
  • DevOps
Preferred Skills
  • Specification-driven development
  • Robotics, Physical AI, Simulation, or Digital Twin
  • AWS or Azure
  • Developer experience platforms
Soft SkillsRequired
  • Problem-solving and analytical thinking
  • Agile/Scrum team collaboration
  • Verbal and written communication
  • Cross-functional/distributed team collaboration
  • Ambiguity tolerance
  • Ownership and accountability
  • Technical documentation
Desired
  • Mentoring junior engineers
  • Technical leadership and design reviews
  • Stakeholder management and vendor collaboration
  • Continuous improvement
  • Global team experience
Disqualifiers (Red Flags)
  • No hands-on backend development
  • Limited API, integration, or distributed systems experience
  • Front-end only experience
  • No Agile/Scrum experience
  • Cannot contribute to cloud-native service development or troubleshooting