Cognitive Engineer Lead
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about the intersection of human cognition and artificial intelligence Join our Transformative AI team and help shape the future of multimodal humanAI systems.
As a Cognitive Engineer in the Transformative AI team within the Asset and Wealth Management you will analyze model and design multimodal humanAI systems that align with human cognition. You will ensure that decision-making information flows and humanagent interactions are optimized across voice text data visualization and ambient interfaces. Unlike traditional UI/UX design this role focuses on understanding cognition and human performance in complex environments then engineering systems that extend and amplify those capabilities.
Job Responsibilities
- Conducts cognitive task analyses for multimodal workflows (voice chat visual dashboards ambient signals).
- Translates insights into system-level requirements for AI agents decision support tools and automation pipelines.
- Models human workload attention and modality-switching costs (e.g. moving between text charts and speech).
- Collaborates with product design and engineering teams to ensure multimodal systems reflect cognitive principles not just interface aesthetics.
- Designs and evaluates cross-modal decision support e.g. when should an AI speak when should it show and when should it stay silent.
- Develops frameworks for trust calibration and cognitive fit in multimodal humanAI teaming.
- Runs simulations and user-in-the-loop experiments to test system performance across modalities.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 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 where engagement is complex
- Deep expertise in: cognitive load and modality management human error analysis and mitigation decision-making under uncertainty humanautomation interaction and voice/visual trust calibration.
- Experience evaluating multimodal AI/ML systems (voice NLP data viz multimodal agents).
Preferred qualifications capabilities and skills
- Analyze how humans think and decide across voice text and visual modalities.
- Translate cognitive principles into engineering requirements for multimodal AI systems.
- Ensure our systems work with an understanding of human cognition across all interaction modes
- Has experience in designing and testing multi-modal systems
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
