招聘
Compensation
$101,000 - $101,000
Benefits & Perks
•Healthcare
•401(k)
•Parental Leave
•Flexible Hours
•Learning Budget
•Healthcare
•401k
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
TypeScript
LLM frameworks
Agentic AI
Vector search
Applied AI Engineer
Date Posted: 2025-12-19
Country: United States of America
Location: UT68: Corporate 1 Farm Springs Road, Farmington, CT, 06034 USA
Position Role Type: Hybrid
Requirements
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
- Security Clearance: None/Not Required
About RTX Corporation
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
Position Overview
This position is part of the Enterprise Services – Data & AI organization within RTX Corporate, supporting the company's mission to develop and scale AI capabilities responsibly and securely across the enterprise. The Applied AI Engineer designs and builds AI-enabled applications that enhance productivity and decision-making across RTX. This hands-on role focuses on developing reusable components, autonomous workflows, and multi-agent patterns that demonstrate measurable business value from modern AI technologies.
What You Will Do
- Build and deploy AI applications that leverage large language models (LLMs) and agentic reasoning frameworks to perform complex, multi-step tasks
- Design and implement context-aware orchestration, tool-use, and memory mechanisms that allow AI systems to operate autonomously within defined boundaries
- Collaborate with business stakeholders to prototype AI copilots and digital assistants that augment human workflows in engineering, sustainment, and operations
- Develop reusable SDKs, documentation, and internal demos to accelerate adoption of AI capabilities
- Partner with platform and MLOps teams to ensure solutions are secure, scalable, and governed
Qualifications You Must Have
- Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
- Python & TypeScript for AI apps; LLM frameworks (Lang Chain, Auto Gen, Semantic Kernel)
- Agentic AI concepts; vector search (Pinecone, FAISS, Azure AI Search)
- Cloud AI services & APIs (OpenAI, Anthropic, Azure AI, Bedrock)
Qualifications We Prefer
- Hands-on experience building and deploying agents for business use cases (e.g., workflow orchestration, data transformation or analysis, multi-agent system)
- Understanding of prompt engineering, contextual retrieval, and self-reflective agent design
- Familiarity with enterprise integration patterns and secure API development
- Strong communication skills and ability to translate business requirements into technical solutions
Work Location
This is a hybrid role. Eligible candidates must reside within commuting distance from Farmington, CT. Additional locations will be considered: MA, TX, IA, CA.
What We Offer
Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
Some of the benefits we offer include:
- Parental (including paternal) leave
- Flexible work schedules
- Achievement awards
- Educational assistance
- Child/adult backup care
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
- Employee assistance program
- Employee Scholar Program
- Paid time off
- 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.
Compensation
The salary range for this role is $101,000 USD - $203,000 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.
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.
Additional Information
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.
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.
Equal Opportunity Statement
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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Senior AI/ML Engineer With Poly Annapolis Junction, Maryland
Lockheed Martin · annapolis junction

Machine Learning Engineer Intern – Smart Manufacturing & AI (Micron Technology)
Micron · Fab 10A, Singapore

Cambridge Residency Programme - Researcher in Agentic AI Systems & Infrastructure
Microsoft · United Kingdom, Cambridgeshire, Cambridge

Engineer Graduate: (Machine Learning Engineer, Data-Search-TikTok Recommendation - San Jose) - 2026 Start (BS/MS)
TikTok · San Jose, CA

Member of Technical Staff - Post-Training
Microsoft · United States, Washington, Redmond; United States, California, Mountain View
About RTX (Raytheon)
Arlington
Headquarters
Reviews
3.9
5 reviews
Work Life Balance
4.0
Compensation
3.2
Culture
3.5
Career
4.3
Management
3.0
Pros
Good benefits and job security
Career growth and advancement opportunities
Diverse programs and experiences
Cons
Low/uncompetitive pay and small raises
Traditional/rigid work culture
Management and organizational issues
Salary Ranges
3,407 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Junior/L3 · Systems Engineer
717 reports
$113,965
total / year
Base
$109,834
Stock
-
Bonus
$4,131
$83,866
$155,631
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
43%
Experience
Positive 29%
Neutral 43%
Negative 28%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Panel Interview
6
Offer
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
System Design
News & Buzz
RTX subsidiary wins $1B Army contract - Virginia Business
Source: Virginia Business
News
·
5w ago
$200M radar deal boosts US-made parts for missile defense - Stock Titan
Source: Stock Titan
News
·
5w ago
News | RTX's Raytheon awarded $197 million contract for Poland airborne reconnaissance system - RTX
Source: RTX
News
·
5w ago
Poland becomes first NATO buyer of RTX's AI-enabled recon pods - Stock Titan
Source: Stock Titan
News
·
5w ago
