Agentic AI Engineer

Location

Onsite – Arlington, VA

• Design, develop, and deploy agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution.
• Build and optimize Python-based frameworks and tools that support scalable agent architectures.
• Integrate cutting‑edge research into practical applications, rapidly prototyping new agentic capabilities.
• Collaborate with research scientists and engineers to design experiments, evaluate system performance, and produce high-quality technical documentation.
• Lead or contribute to peer‑reviewed publications, white papers, and internal research briefs.
• Partner with product and engineering teams to translate research insights into real-world impact.

• Advanced techniques in agentic AI, including tool‑use, planning algorithms, multi‑agent coordination, and memory architectures.
• How to translate emerging research into production‑ready systems at scale.
• Best practices for evaluating autonomous AI behaviors and ensuring safety, reliability, and alignment.
• Collaboration workflows across research, engineering, and product teams.
• Exposure to a broad range of generative AI, reinforcement learning, and orchestration frameworks.

• Experience in Python, including building production-quality systems.
• Experience developing agentic or autonomous AI systems.
• Experience with the latest research in agentic AI, LLM architectures, planning algorithms, or autonomous reasoning.
• Experience designing and running experimental evaluations for AI models or agents.
• Technical writing skills, including experience authoring research papers, preprints, or detailed technical reports.
• Ability to work collaboratively with cross‑functional research and engineering teams.
• Requirement to obtain and maintain a U.S. government issued security clearance.
• U.S. citizenship.

• Graduate degree in computer science, machine learning, artificial intelligence, or a related field.
• Experience with reinforcement learning, multi‑agent systems, or cognitive architectures.
• Contributions to open-source AI frameworks or agentic toolkits.
• Familiarity with cloud-native development, distributed computing, or containerized workflows.
• A track record of published research in top AI/ML conferences or journals.

• Salary range: 95,500
  
  USD – 181,700
  
  USD.
• Benefits include medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, parental leave, paid time off, holidays, and more.

TS/SCI without Polygraph; existing active clearance required after day 1.

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.