Senior Applied AI/ML Scientist - Agentic LLM Systems

JP Morgan Chase; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

JP Morgan Chase is seeking a Senior Associate Applied AI/ML Scientist to develop and operate agentic AI products for Small Business Lending. You will partner with Product and Engineering to translate business needs into production-ready AI systems, owning prompts, tool usage, memory, and routing to shape agent behavior.

Responsibilities include designing, building, and deploying ML/AI solutions, evaluating performance, and implementing safety guardrails.

Qualifications

• Degrees in computer science or data science with 3+ years of industry experience.

Responsibilities

• Design, build, and deploy machine learning and generative AI solutions to address business needs.
• Build agentic AI systems with LLM orchestration frameworks such as LangChain or LangGraph.
• Evaluate agent performance with robust test sets and evaluation rubrics.
• Fine-tune LLMs and open-weight models for custom objectives.
• Implement and tune safety guardrails including prompt-injection defenses and PII handling.
• Collaborate with data scientists, product teams, and stakeholders to translate requirements into scalable AI/ML solutions.
• Apply MLOps practices such as CI/CD, versioning, observability, and model/prompt lifecycle management.
• Work with structured and unstructured data, integrating databases to support RAG.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Python

LLM applications

Communication skills

Problem-solving

Education

Bachelor's/Master's/PhD in Computer Science or data science

Tools

LangChain

LangGraph

FastAPI

Flask

PyTorch

scikit-learn

Arize Phoenix

deepeval

Job description

JP Morgan Chase is seeking a Senior Associate Applied AI/ML Scientist to develop and operate agentic AI products for Small Business Lending. You will partner with Product and Engineering to translate business needs into production-ready AI systems, owning prompts, tool usage, memory, and routing to shape agent behavior.

Responsibilities include designing, building, and deploying ML/AI solutions, evaluating performance, and implementing safety guardrails.