Vice President-AI Cognitive Engineer Lead
On-site · Jersey City, New Jersey, United States
Job Summary
Vice President-AI Cognitive Engineer Lead sought to advance multimodal human–AI systems. You will analyze, model, and design interfaces across voice, text, data visualization, and ambient signals; translate cognitive insights into system-level requirements for AI agents, decision support tools, and automation pipelines; model workload and modality-switching costs; collaborate with product, design, and engineering teams to reflect cognitive principles; design and evaluate cross-modal decision support for when AI should speak, show, or stay silent; develop frameworks for trust calibration and cognitive fit in multimodal human–AI teaming; and run simulations and user-in-the-loop experiments to test system performance across modalities.
Required Qualifications
- Formal training or certification in software engineering concepts
- at least 5 years of applied experience
- Advanced degree in Cognitive Engineering, Human Factors, Applied Cognitive Psychology, Systems Engineering, or related field
- Proven experience in complex, high-stakes domains
- Deep expertise in cognitive load and modality management, human error analysis and mitigation, decision-making under uncertainty, human–automation interaction, and voice/visual trust calibration
- Experience evaluating multimodal AI/ML systems (voice, NLP, data visualization, multimodal agents)
- Ability to analyze how humans think and decide across voice, text, and visual modalities
- Skill in translating cognitive principles into engineering requirements for multimodal AI systems
- Experience ensuring systems work with an understanding of human cognition across all interaction modes
- Background in designing and testing multimodal systems
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