Applied AI/ML Lead - Generative AI

Salary: $61,000 - 101,000 per year Requirements:

• Masters degree in a data science-related discipline and eight years of industry experience, or a PhD in a data science-related discipline
• Demonstrated experience developing and deploying machine learning and generative AI solutions using Python
• Ability to write and maintain production-quality code, including documentation and maintainable design patterns
• Experience developing automated testing practices, including unit tests, and implementing continuous integration pipelines
• Experience building and managing data pipelines and processing workflows for analytics and machine learning
• Strong scientific thinking and structured problem-solving skills, including hypothesis-driven analysis and metric definition
• Strong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders
• Ownership and attention to detail when working in ambiguous, complex problem spaces
• Ability to work independently and collaborate effectively across product, engineering, data, and business teams
• Preferred: Experience designing or governing semantic models and ontologies, including taxonomy design and lifecycle governance
• Preferred: Experience implementing retrieval-augmented generation, tool use, and evaluation strategies for large language model applications
• Preferred: Familiarity with responsible AI techniques, including bias testing, explainability, and model monitoring standards
• Preferred: Experience designing scalable architectures for real-time or near-real-time inference and intelligent workflow orchestration
• Preferred: Experience influencing cross-functional technical direction and mentoring engineers through design reviews and delivery

• Build generative AI, agentic AI, and large language model solutions in Python, taking them from proof of concept through production deployment and measuring their outcomes
• Design context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experience
• Lead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle management
• Partner with domain experts to develop scalable ontologies that represent business entities, relationships, rules, and constraints
• Define semantic integration patterns across data pipelines, APIs, data contracts, and experience layers to resolve semantic conflicts
• Establish and govern a unified semantic layer that supports trusted analytics across business intelligence, machine learning, and transactional systems
• Enable intelligent workflows and AI agents through ontology-driven context, semantic reasoning, and orchestration
• Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations
• Implement responsible AI practices, model risk controls, and governance suited to regulated environments
• Mentor engineers and data scientists, promoting engineering rigor, reuse, and continuous improvement
• Translate complex business needs into clear problem statements, success metrics, production-ready models, and intelligent workflows
• Help shape technical direction across Corporate Technology and the Corporate Functions we support

• Agentic AI
• AI
• AI Agents
• Business Intelligence
• Support
• Machine Learning
• Marketing
• Model Training
• Python

More:

We are JPMorganChase, a financial institution with a history spanning more than 200 years. We provide financial services to consumers, small businesses, and corporate, institutional, and government clients through the J.P. Morgan and Chase brands. This Applied AI and Machine Learning Lead role is part of our Corporate Technology Data Science and AI organization, supporting teams across our Corporate Functions. We offer competitive total rewards, with base pay reflecting role, experience, skills, and location; eligible roles may also receive incentive compensation. Benefits may include health care, on-site wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. Our Corporate Functions span areas including finance, risk, human resources, and marketing, and help our businesses, clients, customers, and employees succeed. We are an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations for religious practices and disability-related needs.

last updated 43 week of 2026