Applied AI ML Director for CIB AI4Tech
On-site · Jersey City, New Jersey, United States
Job Summary
Applied AI/GenAI ML Director for JPMorgan's CIB Ai4Tech team: lead technical direction, build and mentor high-performing teams, and define evaluation and governance frameworks for GenAI and LLM-driven solutions. Drive strategy and development of multiple AI products and technologies, translate complex AI concepts for senior leadership, coordinate with firmwide AI/ML stakeholders on standards, governance, and adoption, and ensure reliability, safety, and regulatory compliance within a highly regulated environment. Champion diversity, inclusion, and responsible AI practices while accelerating adoption of AI capabilities across use cases.
Required Qualifications
- MS with 10+ years of experience or PhD with 5+ years of experience in Computer Science, Machine Learning, or a related field
- Formal training or certification in machine learning; with 5+ years of applied experience in one or more programming languages (e.g., Python, Java, C/C++)
- Strong understanding of AI implementation in software development, including modernization of legacy codebases
- Deep expertise in LLM techniques (e.g., agents, planning, reasoning) and related methods
- Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph); verify any third‐party tools are approved for use at JPMorgan Chase before implementation
- Experience with vector databases, scalable retrieval systems, and evaluation metrics for LLMs
- Hands-on experience in code and architecture, collaborating closely with engineering to productionize experimental results
- Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow
- Solid understanding of ML techniques, especially in Natural Language Processing (NLP) and LLMs
- Experience in leading technologies to anticipate, manage, and resolve complex technical challenges within your domain
- Understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies
- using Advanced knowledge in Reinforcement Learning or Meta Learning
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Background in model governance, bias mitigation, and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business
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