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Ai Application Developer Jobs in Texas (NOW HIRING)

As an application developer for SWBC, you have the ability to work supportive environment that ... Familiarity with AI-assisted development tools and generative AI platforms, such as Anthropic ...

As an application developer for SWBC, you have the ability to work supportive environment that ... Experience designing or integrating agentic AI solutions, including taskoriented or autonomous ...

Senior Agentic AI Developer

Coppell, TX · On-site

$50.75 - $67/hr

Seeking a Senior Software Developer with deep expertise and hands-on experience building ... Experience with LLMs and AI application development. * Expertise in LangGraph, LangChain, CrewAI ...

Showing results 21-40

Ai Application Developer information

See Texas salary details

$15

$49

$79

How much do ai application developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai application developer in Texas is $49.04, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $56.44 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Texas? For Ai Application Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Texas look for? The top searched job categories for Ai Application Developer jobs in Texas are:
What cities in Texas are hiring for Ai Application Developer jobs? Cities in Texas with the most Ai Application Developer job openings:
Infographic showing various Ai Application Developer job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,007 per year, or $49 per hour.

Associate Director, AI Application Engineer

Raytheon

Mckinney, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

2nd of 537 rated manufacturers


Job description

Date Posted:

2026-07-13

Country:

United States of America

Location:

US-TX-MCKINNEY-513WA ~ 2501 W University Dr ~ WING A BLDG

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: TS/SCI

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon Software Engineering is seeking an experienced and delivery-focused Associate Director– Artificial Intelligence (AI) Application Engineer to drive applied AI innovation across classified and unclassified environments. This individual will directly contribute to hands-on development, organizational enablement, secure deployment of AI/Machine Learning (ML) capabilities, and advanced research transition. The ideal candidate is not a theorist but a proven executor who delivers real capability into programs and generates business value.

What You Will Do

  • Integrate and deploy AI/ML models, especially Large Language Models (LLMs) and emerging architectures
  • Build and operate secure AI pipelines across cloud, tactical, and embedded environments
  • Transition prototypes into production systems; support applied research maturation
  • Provide organizational enablement through guidance, training, and best practices
    Collaborate across engineering, research, program leadership, and customers
  • Evaluate new technologies, ensuring compliance with security and government standards
  • Contribute to proposals and technical communication
  • Design, integrate, and govern agentic AI systems with guardrails and operational safety
  • Apply agent-based workflows that improve engineering and mission execution


 

Qualifications You Must Have

  • Typically requires a STEM degree with a minimum of 12 years’ relevant experience
  • Experience as an AI Practitioner applying AI technologies to solve challenges including SW Dev, SW Security, automation and operational workflows
  • Experience with delivery of production AI systems
  • Experience designing, training, and deploying Large Language Models (LLMs) and advanced machine‑learning models, including implementing secure ML Ops and DevSecOps practices
  • Experience with Python and modern machine -learning frameworks
  • Experience deploying AI in cloud and constrained/embedded environments
    Experience leading workstreams
  • Ability to obtain and maintain a U.S. Government issued TS/SCI security clearance after day 1. U.S. Citizenship is required as only US Citizens can acquire clearance

Qualifications We Prefer

  • Experience with delivery of production AI systems
  • Classified program experience
  • Embedded AI optimization experience
  • Integration of AI into legacy/multi-domain systems
  • Familiarity with government AI assurance and safety standards
  • Active U.S. Government issued TS/SCI security clearance

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation
  • Relocation Eligibility

Learn More & Apply Now!

  • Please consider the following role type definition as you apply for this role
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products

This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

Locations : McKinney, TX Tucson, AZ Tewksbury, MA

  • We Are RTX

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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