VP, AI Cognitive Engineering & Multimodal Systems

Testing Site - JPMC; Jersey City (NJ); Presencial; USD 145.000 - 281.000; Jornada completa

Descripción de la vacante

JPMorganChase in Jersey City seeks an AI Cognitive Engineer Lead to shape multimodal human–AI systems. You will analyze, model, and design cognition-driven solutions across voice, text, and visualization, guiding cross-functional teams to optimize decision support and human–automation interaction.

The role focuses on cognitive principles, workload modeling, and trust calibration, with a leadership role in transforming how people interact with AI-enabled systems within Asset & Wealth Management.

Formación

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Advanced degree in Cognitive Engineering, Human Factors, Applied Cognitive Psychology, Systems Engineering, or related field.
• Deep expertise in cognitive load and modality management, human error analysis, and decision‑making under uncertainty.
• Experience evaluating multimodal AI/ML systems (voice, NLP, data visualization).

Responsabilidades

• Conduct cognitive task analyses for multimodal workflows (voice, chat, dashboards, ambient signals)
• Translate insights into system-level requirements for AI agents and automation pipelines
• Model human workload and modality-switching costs
• Collaborate with product, design, and engineering to reflect cognitive principles
• Design and evaluate cross-modal decision support strategies (speak/show/stay silent)
• Develop frameworks for trust calibration and cognitive fit in multimodal teaming
• Run simulations and user-in-the-loop tests across modalities

Conocimientos

Cognitive engineering

Human factors

Systems engineering

Decision making

Multimodal UX

Educación

Advanced degree in Cognitive Engineering or related field

Herramientas

NLP

Data visualization

Descripción del empleo

JPMorganChase in Jersey City seeks an AI Cognitive Engineer Lead to shape multimodal human–AI systems. You will analyze, model, and design cognition-driven solutions across voice, text, and visualization, guiding cross-functional teams to optimize decision support and human–automation interaction.

The role focuses on cognitive principles, workload modeling, and trust calibration, with a leadership role in transforming how people interact with AI-enabled systems within Asset & Wealth Management.