Sr Engineering Manager, Applied AI

JPMorganChase

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Description

Responsibilities:

  • Lead the design development and evolution of Enterprise AI systems taking it from vision to implementation enabling production-ready AI capabilities.
  • Lead and manage a team of software engineers responsible for developing GenAI apps and AI Agents.
  • Architect multi-agent systems that orchestrate between different models tools and data sources
  • Partner with Product Research and Infrastructure teams to define requirements navigate tradeoffs and ship multi-quarter initiatives that move core company metrics.
  • Create frameworks and guardrails that enable fast safe iteration on agent behavior evaluation and rollout.
  • Embrace and drive a culture of accountability for customer and business outcomes.
  • Build systems with a product approach for safety and governance: controls audit ability and risk management
  • Providearchitectural guidance andestablishstandards for observability implementations with a strong focus on cost optimization and compliance.
  • Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery.

Required Qualifications Capabilities & Skills:

  • 5 years of experience in software engineering and 2 years managing software engineering teams.
  • Have strong technical depth and Architect mindsetthat enables you to guide architecture debug complex failures and make trade-offs for efficiency.
  • Have experience building distributed systems or high scale systems where reliability matters.
  • Possess deep expertise in modern software engineering practices and principles including AI/ML/GenAI Agile methodologies.
  • Experience with LLMs in solving real-world problems and building agentic AI applications.
    Experience with agentic frameworks such as LangGraph.
  • Experience with agentic frameworks runtimes orchestration and evaluation/benchmarking systems.
  • Experience with evaluation experimentation or model quality measurement systems.
  • Experience with cloud platforms (AWS GCP or Azure) and modern data infrastructure.

Preferred Qualifications Capabilities & Skills:

  • Experience implementing enterprise-grade governance for agent systems in production autonomous workflows
  • Experience in building and leading teams in the AI Infrastructure domain - LLM workflows agentic systems retrieval and evaluation



Required Experience:

Manager

DescriptionResponsibilities:Lead the design development and evolution of Enterprise AI systems taking it from vision to implementation enabling production-ready AI capabilities.Lead and manage a team of software engineers responsible for developing GenAI apps and AI Agents.Architect multi-agent syst...
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About Company

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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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