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Ai Optimization Jobs in Texas (NOW HIRING)

SEO Manager

Lewisville, TX · On-site

$114/hr

SEO Manager Salary Range: $114-1$48k Key Business Initiatives • Help the organization adapt its search strategy as user behavior shifts from traditional organic search toward AI-powered search ...

Audit and optimize high-value product, service, and landing pages across SEO, GEO, and CRO, balancing search rankings, AI citation, and on-page conversion * Read and interpret site code to find ...

SEO & Performance Content Lead

Austin, TX · On-site +1

$160K - $210K/yr

Own SEO strategy across technical SEO, content, AI search, and organic acquisition. * Develop content strategies that answer real buyer questions and drive qualified traffic. * Build and scale our SE ...

As an SEO Lead, you'll play a key role in shaping organic search strategies that drive growth ... If you're excited about staying ahead of search and AI platform trends, solving complex challenges ...

Showing results 21-40

Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Texas?

For Ai Optimization jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Texas look for?

The top searched job categories for Ai Optimization jobs in Texas are:

What cities in Texas are hiring for Ai Optimization jobs?

Cities in Texas with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Associate Director, AI Software Security Engineer

Raytheon Technologies

Mckinney, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Date Posted:
2026-08-27
Country:
United States of America
Location:
US-TX-MCKINNEY-513WM ~ 2501 W University Dr ~ WING M 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.
The Raytheon Software Engineering Team is seeking an experienced and delivery-focused Associate Director- AI Software Security 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 advanced architecture
  • Build, harden, and operate secure AI pipelines across cloud, tactical, and embedded platforms
  • Transition prototypes into reliable operational capabilities
  • Provide AI development best practices, training, and organizational enablement
  • Collaborate across engineering, research, leadership, and customers
  • Evaluate new technologies for secure AI including lifecycle management and compliance
  • Support proposals, business development, and technical communication

Qualifications You Must Have
  • Typically requires STEM degree with minimum 12 years' relevant experience
  • Experience deploying AI system
  • Experience working with Large Language Models and advanced machine learning architectures
  • Experience implementing secure MLOps and DevSecOps pipelines
  • Hands-on experience across Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), and embedded environments
  • Experience with Python and modern machine learning frameworks.
    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 classified program execution
  • Experience leading workstreams
  • Embedded AI optimization experience
  • Integration of AI into legacy and multi-domain systems
  • Knowledge of AI assurance, safety, and secure deployment 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
Location: 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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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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