Applied AI/ML Sr. Associate - Small Business

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 a Senior Associate Applied AI/ML Scientist, you will develop and operate agentic AI products supporting Small Business Lending. You will partner with Product and Engineering to translate business needs into production-ready systems - you'll build and own the prompts, tool usage, memory, and routing that shape agent behavior, and build evaluations that show whether each change improves task success, safety, and cost. You will help maintain the continuous learning loop from production traces to failure analysis, evaluation cases, and verified fixes.

• 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,

LangGraph, or similar tools.

• Evaluate agent performance with golden and adversarial test sets, LLM-judge

rubrics, and evaluation libraries.

• Fine-tune SLMs and open-weight models for custom objectives.
• Implement and tune safety guardrails, including input/output checks,

prompt-injection defenses, PII handling, and spend limits; monitor effectiveness and false-positive impact.

• Partner with data scientists, product teams, and business stakeholders to

turn requirements into scalable AI/ML solutions.

• Apply MLOps practices such as CI/CD, versioning, observability, and model and

prompt lifecycle management.

• Work with structured and unstructured data, integrating relational and vector

databases to support retrieval-augmented generation (RAG).

• Present findings clearly to technical and non-technical stakeholders,

including senior leaders.

• Bacholer’s, Master's, or PhD degree in computer science or a data

• Strong software engineering experience contributing to production systems.
• Proficient in Python, including asynchronous programming and API development

with FastAPI, Flask, or similar frameworks.

• Hands-on experience building and deploying generative AI or LLM applications

in production.

• Hands-on experience with LLM orchestration and agentic AI frameworks such as

LangChain, LangGraph, or similar tools.

• Experience implementing evaluations and guardrails using tools including

deepeval and similar libraries.

• Experience using tracing observability tools such as Arize Phoenix.
• Familiarity with machine learning frameworks such as PyTorch or scikit-learn,

including adapting and fine-tuning of models.

• Experience integrating vector databases and search or indexing systems into

AI applications.

• Working knowledge of MLOps, including CI/CD, monitoring, and lifecycle

management.

• Strong problem-solving and communication skills, with the ability to work

with technical and non-technical stakeholders.

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.