Applied AI and Machine Learning Lead

Applied AI ML Lead - ML assisted Surveillance

We have an exciting opportunity for you to advance your engineering leadership career and drive innovation in ML-powered solutions.

As an Applied AI ML Lead in the Surveillance Product Team, you will guide and coach teams to deliver high-quality, cloud-native, ML-powered business applications. You will foster a culture of engineering excellence and compliance, collaborating across functions to achieve strategic goals.

Job responsibilities

• Coach teams on design rigor, testing strategies, and SRE mindset to ensure operational readiness.
• Drive a culture of ownership, engineering excellence, and compliance-first thinking.
• Own end-to-end delivery of the product roadmap through Agile planning and risk mitigation.
• Build and productionize ML and LLM-based detection and alerting features, ensuring feedback loops for model improvement.
• Partner with Architecture and senior engineers to influence system design and ensure architectural consistency.
• Enforce operational maturity and DevOps culture to eliminate production toil.
• Collaborate cross-functionally with Product, Compliance, Data Science, and SRE teams to ensure risk and operational excellence.

Required qualifications, capabilities, and skills

• 5+years of experience as a Machine Learning Engineer and two years in people management roles.
• Proven experience leading cloud-native, data-intensive product engineering teams.
• Experience building and delivering ML-powered business applications using public cloud providers such as AWS, Azure, or GCP.
• Experience in regulated or compliance-driven domains such as fintech, surveillance, or risk.
• Strong foundation in Information Retrieval, Natural Language Processing, Classification, and vector similarity search.
• Experience integrating models into cloud-scale, distributed systems and microservices architectures.
• Excellent verbal and written communication skills, able to explain technical and ML concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

• Experience in Data Science and data pipelines.
• Exposure to Data Bricks.
• Familiarity with vector search, embeddings, RAG patterns, model explainability, and auditability concepts.
• Operational experience supporting enterprise-grade ML applications in production.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Senior Level