Agentic Development - Vice President

JPMorganChase · India · 10+ yrs experience · Posted 2026-01-16

Tech stack: AWS, Docker, Kubernetes, Python, Terraform

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About the role

The Data, Analytics and Reporting Team (DART) serves as the primary provider of data analytics and automation solutions for all functions within the Consumer and Community Banking Operations. As a global team, we have a presence in the United States, India, and the Philippines, offering a unique opportunity to work across diverse markets and contribute to impactful projects.
Responsibilities:
- Develop modular components for agentic systems to enable intelligent automation and orchestration within business platforms; continuously build, test, and maintain these components.
- Own individual workstreams and Jira stories, consistently delivering high-quality code and features as part of broader AI/ML initiatives.
- Collaborate
- closely with team members to integrate agentic capabilities into existing systems and actively support solution delivery.
- Containerize
- and deploy agentic system components on cloud platforms (preferably AWS), strictly following established DevOps and infrastructure-as-code practices.
- Apply the latest advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI to assigned tasks and features by staying up to date with industry developments.
- Document
- design decisions, implementation details, and results; clearly communicate progress and technical concepts to team members and stakeholders.
- code quality, security, and compliance by conducting thorough testing, peer reviews, and adhering to best practices.
- Lead a team of senior resources focused on agentic solutions, infrastructure development, CI/CD pipeline, and application development.
- Build strong partnerships with similar teams across locations, as well as with other internal and external stakeholders, to facilitate effective stakeholder management.
Qualifications:
- Bachelor’s degree with 10+ years experience or Master’s degree with 8+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering).
- Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
- Strong Python programming skills, with a focus on modular, scalable, and maintainable code.
- Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
- Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
- Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
- Excellent problem-solving, communication, and documentation skills.
- Ability to lead and manage senior resources, guiding them on assignments and/ or finding the right support for them when they are stuck.
- Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG).
- Exposure to agentic system design patterns, orchestration, and workflow automation.
- Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools.
- Financial services industry experience.
- Ability to design and evaluate autonomous system features aligned with business goals.
- Experience with additional cloud services (EKS, S3, RDS, CloudFormation).

Qualifications

- Bachelor’s degree with 10+ years experience or Master’s degree with 8+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering).
- Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments.
- Strong Python programming skills, with a focus on modular, scalable, and maintainable code.
- Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
- Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
- Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams.
- Excellent problem-solving, communication, and documentation skills.
- Ability to lead and manage senior resources, guiding them on assignments and/ or finding the right support for them when they are stuck.
- Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG).
- Exposure to agentic system design patterns, orchestration, and workflow automation.
- Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools.
- Financial services industry experience.
- Ability to design and evaluate autonomous system features aligned with business goals.
- Experience with additional cloud services (EKS, S3, RDS, CloudFormation).

Responsibilities

- Develop modular components for agentic systems to enable intelligent automation and orchestration within business platforms; continuously build, test, and maintain these components.
- Own individual workstreams and Jira stories, consistently delivering high-quality code and features as part of broader AI/ML initiatives.
- closely with team members to integrate agentic capabilities into existing systems and actively support solution delivery.
- Containerize and deploy agentic system components on cloud platforms (preferably AWS), strictly following established DevOps and infrastructure-as-code practices.
- Apply the latest advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI to assigned tasks and features by staying up to date with industry developments.
- Document design decisions, implementation details, and results; clearly communicate progress and technical concepts to team members and stakeholders.
- code quality, security, and compliance by conducting thorough testing, peer reviews, and adhering to best practices.
- Lead a team of senior resources focused on agentic solutions, infrastructure development, CI/CD pipeline, and application development.
- Build strong partnerships with similar teams across locations, as well as with other internal and external stakeholders, to facilitate effective stakeholder management.

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