Agentic AI Researcher — Grounded ML for Critical Systems

RTX

East Hartford (CT)

Hybrid

USD 87,000 - 165,000

Full time

14 days+

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Job summary

RTX is seeking an Agentic AI Researcher for the Advanced Learning and Analytics team in the RTX Research Center, East Hartford, CT. This role focuses on grounded, explainable, and verifiable AI systems for high-stakes environments.

You will design and build next-generation agentic AI systems, research multi-modal ML, publish findings, and seek internal and external funding to grow capabilities. The position is hybrid, onsite and offsite with flexibility, and offers a salary range of $86,800 to

Qualifications

Typically 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.
Minimum 3 years of hands‑on experience in various ML techniques, off‑the-shelf packages and development environments.
Experience with building ML, LLMs and agentic systems and has a deep understanding of various ML and agentic frameworks like Pytorch, LangGraph, AutoGen.
Ability to understand and use details of an engineering problem statement, formulate it as an ML problem and identify candidate ML approaches.
Research experience in synthesizing and combining multiple ML approaches to address novel engineering problems.

Responsibilities

Design 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.
Research, design and implement novel ML approaches for multi-modal data.
Develop algorithms, publish and present your findings to both internal and external stakeholders
Initiate, lead, and develop capabilities by seeking funding opportunities through internal and external R&D.