The role
From JPMorgan Chase's own posting.
Come join us in reshaping the future of banking with AI!
As an Applied AI Modeling Executive Director, within our AI Modeling Data and Analytics organization, you will architect the development of next-generation AI ML solutions that power JPMorgan Chase’s business decisions, with a focus on credit card and lead a team of experts in designing, deploying, and scaling robust AI/ML systems, leveraging state-of-the-art architectures, as well as deep learning and advanced modeling techniques to solve complex business challenges.
Job Responsibilities:
Design and oversee the integration of advanced machine learning and deep learning architectures and agents. Into production environments in partnership with Product, Risk, Finance, Operations, Technology, and Compliance
Partner with the Business Stakeholders and break down silos to translate business needs into technical solutions while managing the full AI/ML lifecycle
Lead emerging AI talent in research and adoption of cutting-edge AI techniques, including deep neural networks, reinforcement learning, causal inference, and foundational models, to address high-impact business problems
Establish best practices for model development, MLOps, and cloud-native deployment, ensuring compliance with governance and regulatory expectations and promoting skill mastery and continuous learning on the team
Build and lead a high-performing team of AI/ML scientists and engineers and provide individualized development plans, structured rotations, and visibility to senior stakeholders
Oversee rigorous validation, documentation, and monitoring of models, proactively identifying risks and ensuring adherence to internal and external standards while coaching the team to carry these standards into future leadership roles
Required Qualifications, Capabilities, and Skills:
Advanced degree (PhD or MS) in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Economics or other related fields
10+ years of hands-on experience in designing, developing, and deploying advanced AI/ML models, with at least 5 years in a technical leadership or architecture role
Documented expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with large-scale model training, distributed computing, and MLOps
Strong programming skills in Python and familiarity with modern data science tools (e.g., Jupyter, NumPy, Pandas, Scikit-Learn)
Proven track record of architecting and deploying AI/ML solutions in cloud environments (AWS, Azure, or GCP), including experience with Databricks, Snowflake, or similar platforms
Exceptional communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Demonstrated leadership in building and mentoring high-performing technical teams
Preferred Qualifications, Capabilities, and Skills:
Transformer architectures, reinforcement learning, causal inference, or real-time inference
Background in financial services, consumer finance, or regulated industries
AWS Certified Machine Learning, Microsoft Certified: Azure AI Engineer, or similar
Experience with model governance, regulatory compliance, and risk management in AI/ML
Contributions to open-source AI/ML projects or publications in top-tier conferences/journals