AI Agentics Scientist / Computer Engineer (Autonomous Orchestration & Generative Systems)

Air Force Research Laboratory; City of Syracuse, City of Auburn (NY, NY); Presencial; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

Air Force Research Laboratory in Syracuse is seeking an entry-level Computer Scientist, Data Scientist, or Computer Engineer focused on AI agentics to bridge academic AI research with critical operational needs in C3. You will explore autonomous multi-agent reasoning, synthetic data generation, and defensive AI under demanding warfighter conditions.

Responsibilities include designing agentic architectures, benchmarking robustness, and contributing to reports, conferences, and demonstrations.

Formación

• US Citizenship required for eligibility.
• ABET-accredited science or engineering degree in a relevant field.
• Top Secret clearance eligibility and APDP certification readiness.
• Experience or strong interest in AI/ML, agentic systems, and multi-agent reasoning.

Responsabilidades

• Research and develop agentic orchestration architectures and autonomous workflows.
• Investigate adversarial AI, robustness, and safety in C3 environments.
• Create high-fidelity synthetic data and simulation environments for testing.
• Conduct scientific experiments and contribute to technical reports and briefings.

Conocimientos

Research aptitude

Analytical thinking

Clearance eligibility

Educación

ABET-accredited S&E degree

Master's or PhD (desirable)

Herramientas

LangGraph

AutoGen

CrewAI

Semantic Kernel

DSPy

vLLM

TensorRT-LLM

LoRA/PEFT

Vector Databases

Retrieval-Augmented Generation (RAG)

Descripción del empleo

OPEN TO ALL QUALIFIED US CITIZENS. This announcement will be accepting candidate submissions until 11:45 EST, 28 November 2026.

Job Overview

OPEN TO ALL QUALIFIED US CITIZENS. This announcement will be accepting candidate submissions until 11:45 EST, 28 November 2026.

The Information and Spectrum Warfare Directorate (RF), Information Systems Division (RFC) is seeking an entry-level (DR-01) Computer Scientist, Data Scientist, or Computer Engineer specializing in AI Agentics, Foundation Models, and Autonomous Orchestration to bridge academic AI research with critical operational needs across Command, Control, and Communications (C3). This role will investigate open research questions in autonomous multi-agent reasoning, counterfactual explorations, adversarial and system-of-systems AI/ML, synthetic data/environment generation, and goal-driven decision autonomy to deliver resilient decision advantage to warfighters operating in complex information and contested environments.

Position Duties Include, But Are Not Limited To

• Research and development of Agentic Orchestration Architectures: Design, prototype, and evaluate autonomous multi-agent frameworks, reason paradigms (e.g., ReAct, chain/tree-of-thought, reflection loops), and tool-augmented foundation models to automate complex information triage, dynamic task decomposition, and cooperative battlespace decision workflows.
• Investigate Adversarial AI & Agent Robustness: Formulate, implement, and benchmark defenses against adversarial vulnerabilities in generative and agentic systems, including prompt injection, jailbreaking, data poisoning, adversarial tool misuse, and non-deterministic hallucination, ensuring deterministic reliability in safety-critical C3 environments.
• Generate High-Fidelity Synthetic Data & Simulation Environments: Construct generative models, probabilistic world models, and simulated multi-agent sandboxes to synthesize diverse training corpora, stress-test tactical decision workflows, and benchmark autonomous agent performance under simulated Contested, Degraded, and Operationally-Limited (CDO-L) scenarios.
• Scientific Experimentation: Apply R&D benchmarking to evaluate agentic metrics (e.g. agent convergence, latency, explainability, and task accuracy); collaborate with partnered military and academia organizations; assist in authoring of technical reports, conference papers, and assist in briefings and demonstrations.

Required Qualifications

• US Citizenship
• Ability to obtain/maintain a Top Secret clearance as a condition of employment.
• Males must be registered for Selective Service, see www.sss.gov.
• This is a drug testing designated position. The incumbent will be subject to random testing.
• Applicants must be able to meet the OPM Qualification Standards of the position being filled: possess a professional Science or Engineering (S&E) degree, in a relevant technical field, from an ABET accredited academic institution.
• This is an Acquisition Professional Development Program (APDP) position requiring Level/Tier 1 (Intermediate) certification in the Engineering & Technical Management stall. Applicants must list all completed APDP certifications on resume. Selectee will have 5 years to meet the APDP certification requirements of the position.

Desired Qualifications

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Aerospace/Systems Engineering, or a related quantitative field, with a strong research focus on AI/ML Autonomous Agents, Multi-Agent Reinforcement Learning (MARL), Generative AI, or Natural Language Reasoning.
• Familiarity with agentic frameworks and orchestration concepts (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, DSPy, or custom tool-use architectures.)
• Hands-on experience with modern model optimization, inference acceleration, and context management techniques (e.g., vLLM, TensorRT-LLM, LoRA/PEFT, Vector Databases, and Retrieval-Augmented Generation [RAG]).
• Experience in synthetic data generation methods (e.g., diffusion models, GANs, LLM-driven data generation, or physics/game-engine simulation sandboxes like Unity, Isaac Sim, or discrete-event simulators).
• Familiarity with techniques for model optimization, inference acceleration, and context management (e.g., vLLM, TensorRT-LLM, LoRA/PEFT, vector databases, retrieval-augmented generation [RAG]).

Telework

Yes, this position is eligible for situational telework; as determined by agency policy

Eligible for a Referral Bonus?

No

Series

• 0854
• 0855
• 1550
• 1560

Additional Information

Travel to operational bases, contractor facilities, and test ranges will be required.

Instructions on how to submit documents are provided in the automated email you will receive once you apply. Candidates with resumes longer than 2-pages will not be considered.

Requisition Number 03194

Posting End Date

11/28/2026