JPMorgan Chase

Applied AI/ML Sr. Associate - Small Business

JPMorgan Chase
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7 hours ago

Base Salary

$138k - $195k/yr

Responsibilities

  • Design, build, and deploy machine learning and generative AI solutions for business needs.
  • Build agentic AI systems using LLM orchestration frameworks such as LangChain and LangGraph.
  • Evaluate agent performance using 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.
  • Maintain continuous learning loops from production traces through failure analysis, evaluation cases, and verified fixes.
  • Partner with data scientists, product teams, engineering, and business stakeholders to create scalable AI/ML solutions.
  • Apply MLOps practices including CI/CD, versioning, observability, and model and prompt lifecycle management.
  • Integrate structured and unstructured data, relational databases, and vector databases for retrieval-augmented generation.
  • Present findings to technical and non-technical stakeholders, including senior leaders.

Requirements

  • Bachelor’s, master’s, or PhD degree in computer science or a data science-related discipline.
  • At least 3 years of industry experience.
  • Strong software engineering experience contributing to production systems.
  • Proficiency 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 and LangGraph.
  • Experience implementing evaluations and guardrails with tools such as deepeval or similar libraries.
  • Experience using tracing and observability tools such as Arize Phoenix.
  • Familiarity with PyTorch or scikit-learn, including adapting and fine-tuning 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 technical and non-technical stakeholders.

Benefits

  • Competitive total rewards package with base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support and financial coaching.
  • Additional compensation and benefits details are provided during the hiring process.

Tech Stack

FastAPIFlaskPythonPyTorchscikit-learn
JPMorgan Chase

About JPMorgan Chase

10,000+ employees

JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.

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