Applied AI & ML Lead, Generative AI

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

• We require a masters degree in a data science-related field with eight years of industry experience, or a PhD in a data science-related field.
• We need demonstrated experience developing and deploying machine learning and generative AI solutions in Python.
• We require the ability to produce and maintain production-quality code, including documentation and sustainable design patterns.
• We need experience building automated testing practices, including unit tests, and setting up continuous integration pipelines.
• We require experience creating and managing data pipelines and processing workflows for analytics and machine learning use cases.
• We look for strong scientific reasoning and structured problem-solving skills, including hypothesis-driven analysis and metric definition.
• We require strong written and verbal communication skills with the ability to explain complex ideas to both technical and non-technical audiences.
• We value demonstrated ownership and attention to detail when working through ambiguous, complex problem spaces.
• We require the ability to work independently while collaborating effectively across 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 methods for large language model applications.
• Preferred: familiarity with responsible AI practices, including bias testing, explainability approaches, 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.

• We build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment, with measurable outcomes.
• We design context engineering approaches to improve model accuracy, latency, reliability, and the overall user experience.
• We lead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle management.
• We partner with domain experts to create scalable ontologies that capture business entities, relationships, rules, and constraints.
• We define semantic integration patterns across data pipelines, APIs, data contracts, and experience layers to resolve semantic conflicts.
• We establish and govern a unified semantic layer that supports trusted analytics across business intelligence, machine learning, and transactional systems.
• We enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration approaches.
• We build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations.
• We implement responsible AI practices, model risk controls, and governance aligned with regulated environments.
• We mentor engineers and data scientists, raising the standard for engineering rigor, reuse, and continuous improvement across the team.

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

More:

We are collaborating with J.P. Morgan to connect them with exceptional professionals for this role. At JPMorganChase within Corporate Technology Data Science and AI, we build enterprise AI solutions that improve decision-making, automate work, and better serve internal customers. We offer a competitive total rewards package and a range of benefits and programs for eligible employees, including comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We are committed to diversity, inclusion, and equal opportunity, and we make reasonable accommodations for religious practices and beliefs as well as mental health or physical disability needs. Our Corporate Technology team develops applications and provides technology support across our corporate functions, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office.

last updated 37 week of 2026