Data Domain Architect Senior Associate - Agentic AI Evaluation & Annotation at JPMorgan Chase & Co. - ScoutJobs - The AI-curated global job board
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JPMorgan Chase & Co.
Posted 11 days ago

Data Domain Architect Senior Associate - Agentic AI Evaluation & Annotation

JPMorgan Chase & Co.Data Domain Architect Senior Associate - Agentic AI Evaluation & Annotation

Requirements

Master's degree in CS, Data Science, or related field, 3+ years experience in AI evaluation or LLM applications, Experience with annotation schemas and rubrics, Hands-on Python experience, Knowledge of agentic AI concepts

Skills

PythonLLMAI

About the role

Responsibilities

  • Define and operationalize evaluation metrics for agentic AI workflows, including task success, tool-use quality, and policy adherence.
  • Design annotation schemas, rubrics, and taxonomies for evaluating agent trajectories across multi-turn and multi-tool scenarios.
  • Build and maintain agent-specific gold sets, challenge sets, and regression suites to assess planning and grounding.
  • Train, calibrate, and support annotators to ensure consistent application of labeling guidelines and quality expectations.
  • Identify and report agent failure patterns such as incorrect planning, invalid arguments, or unsafe recommendations.
  • Partner with ML engineers and product managers to align evaluation criteria with agent architecture and business requirements.
  • Contribute to LLM-as-judge and automated evaluation workflows, including evaluator prompt design and rubric-based scoring.

Requirements

  • Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
  • 3+ years of experience in AI evaluation, annotation programs, LLM applications, or agentic AI systems.
  • Hands-on experience evaluating LLM-based systems, specifically regarding multi-step reasoning, planning, and tool use.
  • Proven experience designing annotation schemas, evaluation rubrics, and labeling guidelines.
  • Working knowledge of agentic AI concepts such as orchestration, tool invocation, and context management.
  • Hands-on Python experience for data analysis, validation, and automation.
  • Strong analytical and communication skills to translate complex agent behavior into measurable decisions.

Preferred Qualifications

  • Experience evaluating autonomous or tool-using agents in production environments.
  • Experience building agent evaluation benchmarks, trajectory datasets, or regression suites.
  • Experience with agent observability, trace review, and evaluation pipelines.
  • Knowledge of emerging agentic AI evaluation methods and best practices.

About the Company

JPMorganChase is a leading global financial services firm with a history spanning over 200 years. We provide innovative financial solutions to millions of consumers, small businesses, and prominent corporate and institutional clients. Our Consumer & Community Banking division leverages cutting-edge data and analytics to build competitive advantages and provide industry-leading digital solutions.

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Data Domain Architect Senior Associate - Agentic AI Evaluation & Annotation

JPMorgan Chase & Co. · Bengaluru

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