AI Agentics Scientist — Autonomous Multi-Agent Systems

Air Force Research Laboratory; City of Rome (NY); On-site; USD 70,000 - 95,000; Full time

Job summary

Air Force Research Laboratory seeks entry-level scientists (GS-07 to GS-11) in Computer Science/Data Science or Computer Engineering who specialize in AI agentics, foundation models, and autonomous orchestration.

The role bridges academic AI research with critical C3 operations, exploring multi-agent reasoning, adversarial AI defenses, synthetic data, and high-fidelity simulations for warfighter decision advantage.

Qualifications

• Advanced degree in a quantitative field with a strong research focus on AI/ML autonomous agents.
• Experience or coursework in multi-agent systems and decision-making under uncertainty.
• Knowledge of safety, robustness, and evaluation methods for agentic AI in complex environments.

Responsibilities

• Design, prototype, and evaluate autonomous multi-agent architectures and reasoning paradigms.
• Research defenses against adversarial vulnerabilities in generative/agentic systems.
• Develop synthetic data and simulation environments to benchmark autonomous workflows.

Skills

AI/ML Autonomous Agents

Multi-Agent Reinforcement Learning

Generative AI

Natural Language Reasoning

Education

Master’s or Ph.D. in Computer Science/Data Science/Aerospace/Systems Engineering

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

DSPy

vLLM/TensorRT-LLM

LoRA/PEFT

Vector Databases

Retrieval-Augmented Generation (RAG)

Job description

Air Force Research Laboratory seeks entry-level scientists (GS-07 to GS-11) in Computer Science/Data Science or Computer Engineering who specialize in AI agentics, foundation models, and autonomous orchestration.

The role bridges academic AI research with critical C3 operations, exploring multi-agent reasoning, adversarial AI defenses, synthetic data, and high-fidelity simulations for warfighter decision advantage.