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Applied AI/ML Lead - Small Business

JPMorgan Chase

New York, NYFull-time$171–260K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$171–260K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Applied AI and Machine Learning Lead sets technical direction for agentic AI products supporting Small Business Lending. The role leads agent design and production delivery, owns system measurement, and partners with Product and Engineering to define outcomes and guide a small team. Solutions are expected to be reliable, safe, cost-aware, and appropriate for a regulated financial environment.

Skills & qualifications

RequiredNice to have

Skills

PythonProduction Machine LearningGenerative AIAI/ML Service LeadershipCode ReviewAutomated TestingContinuous IntegrationMonitoringPost-Release ImprovementAI EvaluationSafety ControlsData PipelinesSQLStructured and Unstructured DataStatistical MethodsExperimental DesignA/B TestingCommunicationRetrieval-Augmented GenerationVector DatabasesSearchFoundation Model Fine-TuningEmbedding TrainingInference OptimizationLLM OrchestrationLangChainLangGraphTracing and ObservabilityArize Phoenix

Qualifications

Master's or PhD in Computer Science or Data Science-Related Discipline5+ Years Industry Experience

Benefits

Medical Insurance
401(k) Match
Tuition Assistance

Full job description

Applied AI/ML Lead - Small Business

New York, NY, United States

Job Information

  • Job Identification 210806550

  • Job Category Predictive Science

  • Business Unit Consumer & Community Banking

  • Posting Date 11/03/2026, 08:24 PM

  • Locations 450 W 33rd St, New York, NY, 10001, US

  • Job Schedule Full time

  • Base Pay/Salary New York,NY $171,000.00-$260,000.00

Job Description

Chase Small Business Banking is a world-class brand serving 7 million small business clients with a full suite of financial services, including lending, deposits, cards, and online solutions.

As an Applied AI and Machine Learning Lead, you will set the technical direction for agentic AI products supporting Small Business Lending. You will lead the design and production delivery of agent behavior across prompts, retrieval, tools, evaluation, routing, and memory, while owning the measurement loop that demonstrates whether the system works. Partnering closely with Product and Engineering, you will define meaningful outcomes, guide a small team, and ensure the solutions are reliable, safe, cost-aware, and appropriate for a regulated financial environment.

Job Responsibilities

  • Set the technical direction for applied AI in Small Business Lending, translating ambiguous needs into a solution strategy, success measures, and delivery plan

  • Lead projects from discovery through production, managing priorities, risks, dependencies, and post-launch results

  • Guide agent design across prompts, context, retrieval, tools, evaluation, routing, and memory

  • Define evaluation, safety, and guardrail approaches for non-deterministic systems

  • Partner with Engineering on infrastructure, retrieval, tool APIs, telemetry, and release readiness

  • Mentor and guide junior team members

  • Cultivate stakeholder and partner relationships, communicate effectively to senior management

Required Qualifications, Capabilities, and Skills

  • Master's or PhD degree in computer science or a data science-related discipline, with 5+ years of industry experience

  • Developed and deployed production machine learning or generative AI solutions using Python

  • Experience leading AI/ML services from ideation to deployment, including design, code review, automated testing, CI, monitoring, and post-release improvement

  • Built evaluations and safety controls for nondeterministic and agentic systems

  • Worked with data pipelines, SQL, and structured and unstructured data

  • Advanced knowledge of statistical methods, experimental design and A/B testing

  • Communicated complex findings and recommendations clearly to technical and business partners

  • Experience with RAG, vector databases, search, and structured or unstructured context

  • Experience fine-tuning foundation models, training embeddings, or optimizing inference

  • Expertise with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.

  • Experience with tracing and observability tools such as Arize Phoenix.

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include 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. Additional details about total compensation and benefits will be provided during the hiring process.

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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

How this job compares

Set against the 2,143 open Machine Learning jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$171–260K/yr
  • New York median$172–249K/yr166 salary ranges
  • US median$150–249K/yr1,539 salary ranges

This range's midpoint, $216K, is close to the New York median midpoint ($213K) — in the middle half of Machine Learning salary ranges in New York.

Openings
Olive Jobs lists 208 open Machine Learning jobs in New York and 2,143 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 5 years of experience; Machine Learning postings that state a minimum ask for 5 years at the median (1,633 postings).
Education
802 of the 2,143 open Machine Learning jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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