{"id":1093254,"url":"https://alion.io/job/rtx-agentic-ai-researcher-hybrid","title":"Agentic AI Researcher (Hybrid)","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":208,"ghost_share":0,"stale_share":0.38,"repost_share":0.058,"time_to_fill_p50_days":9,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["East Hartford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":86800,"max":165200,"currency":"USD","period":"year","gross":null,"usd_annual":165200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Perception","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-21T16:13:27Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Date Posted:\n2026-08-20\n\nCountry:\nUnited States of America\n\nLocation:\nUS-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K\n\nPosition Role Type:\nHybrid\n\nU.S. Citizen, U.S. Person, or Immigration Status Requirements:\nThis job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62\n\nSecurity Clearance Type:\nNone/Not Required\n\nSecurity Clearance Status:\nNot RequiredAt 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. Join us and help shape the future of aerospace and defense.\nThe following position is to join our RTX Research Center team:\nRole Overview:\nSeeking a motivated and curious candidate for an Agentic AI Researcher position in the Advanced Learning and Analytics team, part of the AI Discipline.\nThe Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, LLM applications and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include autonomous flight, material discovery and design, automated visual inspection of parts, robotic perception and prognostics and health management. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners and subject matter experts collaborate and exchange experience.\nThis role focuses on creating grounded, explainable and verifiable AI systems capable of operating in complex high-stakes environments such as autonomous systems, command and control, decision support and safety critical domains.\nWhat You Will Do:\nDesign and build the next-generation agentic AI systems that combine the strengths of machine learning (LLMs, RL, deep learning) with symbolic reasoning, knowledge graphs and formal methods.\n\nResearch, design and implement novel ML approaches for multi-modal data.\n\nDevelop algorithms, publish and present your findings to both internal and external stakeholders\n\nInitiate, lead, and develop capabilities by seeking funding opportunities through internal and external R&D.\n\nWhat You Will Learn:\nYou will learn to collaborate and participate in a world class multi-disciplinary research environment working. Learn about challenges and help develop AI solutions in critical domains of aerospace and defense.\n\nQualifications You Must Have:\nTypically requires: A University Degree In Computer Science or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience\n\nMinimum 3 years of hands-on experience in various ML techniques, off-the-shelf packages and development environments.\n\nExperience with building ML, LLMs and agentic systems and has a deep understanding of various ML and agentic frameworks like Pytorch, LangGraph, AutoGen\n\nAbility to understand and use details of an engineering problem statement, formulate it as an ML problem and identify candidate ML approaches.\n\nResearch experience in synthesizing and combining multiple ML approaches to address novel engineering problems.\n\nQualifications We Prefer:\nPh.D. in Computer Science or a related field\n\n5+ years of professional ML experience with 2+ developing agentic solutions\n\n5+ years of experience applying and adapting ML approaches from academic literature to real world problems.\n\nExperience with finetuning LLMs for pushing the reasoning capabilities\n\nPrior experience in Aerospace and Defense applications\n\nPublished work in flagship conferences- NeurIPS, ICML, ICLR\n\nWhat 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.\nLearn More & Apply Now!\nWork Location: Hybrid - East Hartford, CT\nPlease consider the following role type definition as you apply for this role:\nHybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.\nAs 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.\nThe salary range for this role is 86,800 USD - 165,200 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.\nPrivacy Policy and Terms:\nClick on this link to read the Policy and Terms","description_format":"text","description_chars":7582,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":true,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Manufacturing","Science & Engineering","Defense Manufacturing"],"lifecycle":[{"event":"open","at":"2026-09-21T15:54:47Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.318,"p_room":0.28,"age_days":62,"expected_fill_days":9,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":165200,"is_top_pay":false},"html_url":"https://alion.io/job/rtx-agentic-ai-researcher-hybrid","json_url":"https://alion.io/job/rtx-agentic-ai-researcher-hybrid.json","meta":{"generated_at":"2026-10-21T19:25:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27480,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1162},"rest":"https://alion.io/mcp/rest/get_company?id=1162"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frtx-agentic-ai-researcher-hybrid"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frtx-agentic-ai-researcher-hybrid"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frtx-agentic-ai-researcher-hybrid"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rtx-agentic-ai-researcher-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frtx-agentic-ai-researcher-hybrid"}]}