Responsibilities
- Lead research in agentic artificial intelligence, focusing on decision support, autonomous workflows, and large language model-driven agent designs with memory, planning, tool integration, and retrieval capabilities.
- Design and evaluate multi-agent systems enabling distributed decision-making, coordination, communication, and extended task execution in high-stakes environments.
- Create AI systems enhanced with structured knowledge, incorporating knowledge graphs, GraphRAG pipelines, ontologies, and multimodal retrieval to improve contextual understanding and logical reasoning.
- Develop and apply graph machine learning methods, including graph neural networks and geometric deep learning, to identify patterns, detect anomalies, and enable predictive modeling.
- Advance trustworthy AI through explainability, verification and validation, robustness testing, uncertainty quantification, and safety analysis in agent-based and graph-driven systems.
- Work with cross-functional teams, contribute to high-impact publications, assist in proposal writing, and interact with internal and external partners.
Benefits
- Comprehensive and highly competitive compensation and benefits
- Medical insurance coverage
- Dental insurance coverage
- Vision insurance coverage
- Life insurance
- 401K retirement plan with employer match
- On-site gym facilities
- Paid time off
- Sick leave
- Opportunities for career advancement
- Dynamic and intellectually stimulating work environment
Compensation
Generous and very competitive total compensation and benefits package
Benefits
- Medical, dental, vision, life insurance
- 401K match
- Gym facilities
- PTO
- Sick time
- Upward mobility
- Exciting and challenging work environment
