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JobsRaytheon (RTX)

Intern: 2026 - Technical Publications: Artificial Intelligence Strategy & Integration (Onsite)

Raytheon (RTX)

Intern: 2026 - Technical Publications: Artificial Intelligence Strategy & Integration (Onsite)

Raytheon (RTX)

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

·

On-site

·

Internship

·

5d ago

Date Posted:

2026-03-03

Country:

United States of America:

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

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

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

Pratt & Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

What You Will Do

Support the development and execution of an Artificial Intelligence (AI)/Machine Learning (ML) incorporation framework within Technical Publications. This role will focus on operational research, workflow analysis, use case definition, and integration planning to support modernization of technical data processes in a controlled, compliance-driven environment.

  • Conduct workflow analysis across Technical Publications processes to identify high-friction and high-impact AI use case opportunities
  • Develop AI Use Case Briefs including problem definition, baseline metrics, and measurable success criteria
  • Support data readiness assessments including structured (XML/S1000D) and unstructured technical data evaluation
  • Assist in defining human-in-the-loop review workflows for AI-assisted processes
  • Develop governance documentation including risk assessments, control frameworks, and audit considerations
  • Partner with engineering, quality assurance, and technical publications stakeholders to gather requirements and validate operational needs
  • Create and track pilot performance metrics including cycle time, rework rate, and defect reduction

What You Will Learn

  • Delivery of 2–3 fully defined AI Use Case Briefs
  • Completion of a data readiness assessment for at least one pilot candidate
  • Development of a documented AI integration workflow aligned to governance controls
  • Pilot Summary Presentation

Qualifications You Must Have

  • Enrolled in a degree program in Systems Engineering, Engineering Management, Operations Research, Business Analytics, Information Systems, or related technical field
  • Strong analytical and problem-solving skills
  • Ability to translate operational challenges into structured requirements
  • Interest in AI/ML applications in industrial or engineering environments

Qualifications We Prefer

  • Familiarity with process mapping and workflow analysis
  • Exposure to data analytics tools (Excel, Power BI, Python, or similar)
  • Understanding of structured data concepts (XML or similar)
  • Strong written communication skills for technical documentation
  • Ability to operate in a fast-paced, results-driven engineering environment
  • Strong project management, time management, teamwork, and interpersonal skills
  • Minimum GPA of 3.0

Learn More & Apply Now!

This position is classified as onsite. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process.

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.

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 37,000 USD - 82,000 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 Raytheon (RTX)

Raytheon (RTX)

Raytheon Technologies is a major aerospace and defense contractor that develops advanced technologies for commercial aerospace, defense, and intelligence applications. The company provides missiles, defense systems, aircraft engines, avionics, and cybersecurity solutions.

10,001+

Employees

Arlington

Headquarters

Reviews

3.1

3 reviews

Work Life Balance

2.5

Compensation

1.5

Culture

1.5

Career

2.0

Management

1.0

15%

Recommend to a Friend

Pros

Technical work is fulfilling

Opportunities for continued learning

Meaningful technical projects

Cons

Mass layoffs without notice

Poor management treatment of employees

Limited career advancement opportunities

Salary Ranges

33 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · HR System EV5 Production Support Lead

1 reports

$138,000

total / year

Base

$120,000

Stock

-

Bonus

-

$138,000

$138,000

Interview Experience

10 interviews

Difficulty

2.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment

4

Technical Interview

5

Final Round Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm

Culture Fit