Lead AI & ML Engineer

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

• We require a masters degree in a data science-related discipline plus eight years of industry experience, or a PhD in a data science-related discipline.
• We need proven experience developing and deploying machine learning and generative AI solutions using Python.
• We expect the ability to write and maintain production-quality code, including documentation and sustainable design patterns.
• We value experience building automated testing practices, including unit tests, and implementing continuous integration pipelines.
• We look for experience building and managing data pipelines and processing workflows for analytics and machine learning use cases.
• We need strong scientific reasoning and structured problem-solving skills, including hypothesis-led 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 stakeholders.
• We look for demonstrated ownership and strong attention to detail when working through ambiguous, complex problem spaces.
• We need 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 strategies for large language model applications.
• Preferred: familiarity with responsible AI techniques, including bias testing, explainability methods, 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 represent 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 methods.
• 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
• Marketing

More:

We are working with J.P. Morgan to connect exceptional professionals with this Applied AI and Machine Learning Lead opportunity in our Corporate Technology Data Science and AI team. We build enterprise AI solutions that improve decision-making, automate work, and support internal customers, with a strong focus on moving generative AI from concept to production and setting the standard for semantic consistency across systems. Our team partners closely with stakeholders across Corporate Technology and Corporate Functions, and the role offers the chance to influence technical direction while mentoring others. JPMorganChase is one of the worlds oldest financial institutions, serving consumers, small businesses, and major corporate, institutional, and government clients. We offer a competitive total rewards package, eligibility-based benefits, and programs that may include health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion and operate as an equal opportunity employer.

last updated 40 week of 2026