Engineer I: AI Engineer

Date Posted:

2026-09-14

Country:

United States of America

Location:

US-CT-REMOTE

Position Role Type:

Remote

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

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. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do

We are seeking an AI Engineer to join our team and help design, build, and scale enterprise AI capabilities.

This role will focus on developing production-grade solutions using large language models, retrieval-augmented generation, intelligent agents, enterprise knowledge, and modern software engineering practices. The AI Engineer will work across AI, software engineering, data, product, and enterprise systems to turn emerging technologies into reliable solutions that solve real business and engineering problems.

This is a hands-on engineering role for someone who enjoys building, experimenting, solving complex technical problems, and taking solutions from concept through production.

Key Responsibilities

• Design, build, test, and deploy production-grade AI applications and services
• Develop LLM-powered applications, intelligent agents, and agentic workflows
• Build and improve retrieval-augmented generation (RAG) systems
• Integrate AI applications with APIs, databases, enterprise systems, tools, and knowledge sources
• Develop reusable AI services, APIs, components, and frameworks
• Implement tool calling and multi-step workflows that enable AI systems to complete complex tasks
• Improve semantic search, embeddings, retrieval, reranking, and contextual grounding
• Apply prompt engineering and context engineering techniques to improve AI system performance
• Develop evaluation methods to measure accuracy, relevance, groundedness, reliability, latency, and user experience
• Identify and mitigate hallucinations, retrieval failures, and other common AI system failure modes
• Prototype and evaluate emerging AI technologies for enterprise use
• Contribute to AI observability, monitoring, testing, security, governance, and responsible AI practices
• Participate in architecture discussions, code reviews, technical design sessions, and agile development activities
• Partner with product teams, business stakeholders, engineers, and subject-matter experts to translate business problems into scalable AI solutions

Qualifications You Must Have

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Mathematics, or a related technical discipline

• Experience programming in Python
• Understanding of software engineering fundamentals, including data structures, APIs, testing, object-oriented programming, and version control
• Foundational understanding of machine learning, artificial intelligence, and generative AI concepts
• Experience with Git or similar version-control technologies

Qualifications We Prefer

• Prior RTX internship, co-op, or work experience.
• Experience building applications using large language models
• Experience working with platforms or APIs such as Azure OpenAI, OpenAI, Anthropic, or similar technologies
• Experience with retrieval-augmented generation architectures
• Experience with embeddings, vector databases, semantic search, hybrid search, or information retrieval
• AI agents, tool/function calling, multi-agent systems, or agentic workflows
• Frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar technologies
• Experience developing REST APIs or backend services using FastAPI, Flask, Django, or similar frameworks
• SQL, NoSQL, graph databases, and vector databases
• Cloud development, particularly within Microsoft Azure
• Docker, containers, CI/CD pipelines, and DevOps practices
• Microservices and distributed application architectures
• Knowledge graphs, ontologies, graph-based retrieval, or enterprise knowledge systems
• AI evaluation frameworks, observability, guardrails, and responsible AI
• Front-end or full-stack application development
• Experience building AI solutions through professional work, internships, academic projects, hackathons, research, or open-source contribution

Learn More & Apply Now!

What We Offer

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

Please consider the following role type definition as you apply for this role.

• Remote: This position currently is designated as remote. Employees who are working in remote roles will work primarily offsite (from home) but may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories).

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 57,200 USD - 108,800 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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