Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Applied AI/ML Lead - Small Business
New York, NY, United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingSet technical direction and delivery plans for applied AI in small business lending
Lead AI projects from discovery through production and post-launch results
Guide agent design across prompts, retrieval, tools, evaluation, routing, and memory
Define evaluation, safety, and guardrail approaches for non-deterministic systems
Partner with Engineering on infrastructure, retrieval, tool APIs, and release readiness
From the employer’s posting
Set the technical direction for applied AI in Small Business Lending
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
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- 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
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, United States
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- Work authorization
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