Agentic AI Researcher (Hybrid)

RTX
United States
Workplace: HybridFull timeUSD 86,800 - 165,200 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Communication","Research","Collaboration"]

Research and develop agentic AI systems for high-stakes aerospace and defense use cases. Build grounded, explainable, and verifiable AI by combining ML (LLMs, reinforcement learning, deep learning) with symbolic reasoning, knowledge graphs, and formal methods. Work on multi-modal ML, publish research, and help grow capabilities through internal and external R&D funding, collaborating in a multidisciplinary Advanced Learning and Analytics team.

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FursaFursa
RTX
RTX
4 days ago

Agentic AI Researcher (Hybrid)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Research and develop agentic AI systems for high-stakes aerospace and defense use cases. Build grounded, explainable, and verifiable AI by combining ML (LLMs, reinforcement learning, deep learning) with symbolic reasoning, knowledge graphs, and formal methods. Work on multi-modal ML, publish research, and help grow capabilities through internal and external R&D funding, collaborating in a multidisciplinary Advanced Learning and Analytics team.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and build next-generation agentic AI systems combining ML with symbolic reasoning, knowledge graphs, and formal methods.
  • •Research, design, and implement novel ML approaches for multi-modal data.
  • •Publish and present findings to internal and external stakeholders.
  • •Initiate, lead, and develop R&D capabilities by seeking internal and external funding opportunities.

Pay and Benefits

Salary: USD 86,800 - 165,200 annually
Perks:Health InsuranceDentalVision401kParental Leave

Key Requirements

  • •Typically requires a University Degree in Computer Science (or equivalent experience) with at least 5 years of relevant experience, or an Advanced Degree with at least 3 years experience.
  • •Minimum 3 years of hands-on experience with machine learning techniques, off-the-shelf packages, and development environments.
  • •Experience building machine learning/LLM/agentic systems with deep understanding of agentic frameworks such as PyTorch, LangGraph, and AutoGen.
  • •Ability to translate engineering problem statements into ML problems and identify candidate ML approaches.
  • •Research experience synthesizing and combining multiple ML approaches to address novel engineering problems.
Experience:3+ yearsAerospaceDefenseManufacturingMachine learningLLMsReinforcement learning
Education:
Skills:CommunicationResearchCollaboration
Tech Stack:PyTorchLangGraphAutoGenLLMsMachine learningReinforcement learningDeep learningComputer visionKnowledge graphsFormal methodsMulti-modal data

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website