AI Applications Specialist II

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world.

We are seeking a talented AI Applications Specialist II to join our innovative New Product Introduction (NPI) team focused on applying AI technology to achieve our NPI goals in the areas of common test method (CTM) automated development, manufacturing verification testing, margin analysis, production troubleshooting, and throughput optimization.

• Develop, implement and optimize AI models and tools to improve the efficiency of our NPI processes in the targeted improvement areas.
• Establish an AI capability for common test method (CTM) automated development, re-use and configuration management.
• Implement a strategic roadmap for AI capabilities required to optimize manufacturing verification testing, margin analysis, production troubleshooting, and production TAKT times.
• Collaborate with cross‑functional teams to understand business needs and translate them into technical requirements.
• Build and manage the infrastructure needed for AI development and production, including data pipelines for machine learning workflows.
• Collect, preprocess, and manage large datasets, ensuring data quality and suitability for model training.
• Optimize and fine‑tune AI models for improved accuracy, performance, and efficiency.
• Test and validate AI model performance and implement monitoring systems to ensure reliability in production.
• Maintain comprehensive documentation of AI models, processes, and experimental results.
• Stay up‑to‑date with the latest advancements in AI research and technology to incorporate new methodologies.

• Bachelor’s degree in STEM and minimum two (2) years of relevant experience, or an advanced degree in a related field.
• Experience with machine learning, deep learning, NLP, and computer vision.
• Experience developing, modifying, or using AI models and applications with frameworks such as Tensor Flow, PyTorch, or scikit‑learn.
• Programming skills in languages such as Python.
• Active, transferable U.S. government‑issued security clearance prior to start date; U.S. citizenship required.

• Degree or certificate related to AI/ML.
• Experience with data preprocessing, cleaning, and transformation techniques.
• Ability to work with large datasets and perform data analysis using tools like Pandas or Spark.
• Ability to train users to effectively apply AI techniques and tools to solve manufacturing and engineering problems.
• Excellent problem‑solving skills and ability to work in a team environment.

DoD Clearance:
Secret – an active and transferable U.S. government‑issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Salary range: $66,000 – $130,000 USD. Benefits may include medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, parental leave, paid time off, holidays, and potential incentive compensation programs depending on the level and business unit.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, business necessity may allow 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.

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, including all production and maintenance employees essential to the development of our products.

This position requires onsite work in Tucson, AZ: ,-az-location.

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Note:

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.