Applied AI Engineer

2 weeks ago


Farmington, United States Raytheon Technologies Full time

Date Posted:2025-12-19Country:United States of AmericaLocation:UT68: Corporate 1 Farm Springs Road, Farmington, CT, 06034 USAPosition Role Type:HybridU.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: None/Not RequiredRTX 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 experiencePython & TypeScript for AI apps; LLM frameworks (LangChain, AutoGen, 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 LocationThis is a hybrid role, eligible candidates must reside within commuting distance from Farmington, CT, additional locations will be considered MA, TX, IA, CAWhat 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 and child/adult backup care.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.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.



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