Lead Applied AI & ML Engineer - Data Science

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 with Python
• Ability to write and maintain production-quality code, with documentation and maintainable design patterns
• Experience establishing 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, including the ability to explain complex concepts to technical and non-technical stakeholders
• Ownership and attention to detail in ambiguous, complex problem spaces
• Ability to work independently and collaborate effectively with product, engineering, data, and business partners
• 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 execution

• 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 the end-to-end user experience
• Lead our enterprise semantic modeling strategy, including ontology standards, governance, and lifecycle management
• Work 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
• Apply responsible AI practices, model risk controls, and governance suited to regulated environments
• Mentor engineers and data scientists, promoting engineering rigor, reuse, and continuous improvement across our team

• 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. Under the J.P. Morgan and Chase brands, we provide financial services to consumers, small businesses, and corporate, institutional, and government clients. This Applied AI and Machine Learning Lead role sits within our Corporate Technology Data Science and AI team, supporting Corporate Technology and Corporate Functions. Our corporate teams work across areas including finance, risk, human resources, and marketing to help our businesses, clients, customers, and employees succeed. We offer a competitive total rewards package, with base salary determined by role, experience, skills, and location; eligible roles may also receive incentive compensation. Benefits, subject to eligibility, include health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, are an equal opportunity employer, and provide reasonable accommodations for religious practices and beliefs and for mental or physical disabilities.

last updated 42 week of 2026