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Chase · 3 months ago

Vice President-AI Cognitive Engineer Lead

575 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Mid, Senior Level

$164K/yr - $260K/yr

5+ years exp

Chase is seeking a Vice President-AI Cognitive Engineer Lead to join their Transformative AI team. In this role, you will engineer solutions that enhance decision-making and improve human-agent interactions through multimodal human–AI systems.

BankingFinancial Services

Responsibilities

Conduct cognitive task analyses for multimodal workflows (voice, chat, visual dashboards, ambient signals)

Translate insights into system-level requirements for AI agents, decision support tools, and automation pipelines

Model human workload, attention, and modality-switching costs (e.g., moving between text, charts, and speech)

Collaborate with product, design, and engineering teams to ensure multimodal systems reflect cognitive principles

Design and evaluate cross-modal decision support (e.g., when should an AI “speak,” “show,” or “stay silent”)

Develop frameworks for trust calibration and cognitive fit in multimodal human–AI teaming

Run simulations and user-in-the-loop experiments to test system performance across modalities

Qualification

Cognitive EngineeringHuman FactorsMultimodal AI/ML systemsSoftware EngineeringApplied Cognitive PsychologyDecision-making under uncertaintyHuman-automation interactionVoice/visual trust calibrationCognitive load managementHuman error analysis

Required

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

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)