Senior Agentic AI Architect & Enterprise Solutions Lead

JPMorganChase

Jersey City (NJ)

On-site

USD 190,000 - 240,000

Full time

4 days ago
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Job summary

JPMorganChase is seeking a Senior Lead Architect within the Corporate Sector, Employee Platforms. You will shape agentic AI capabilities, design scalable architectural solutions, and guide cross-functional teams across enterprise-scale initiatives.

The role blends hands-on delivery with architectural leadership, advancing AI-enabled engineering patterns while ensuring security, compliance, and operational excellence across public cloud environments.

Qualifications

  • Formal training or certification on architecture concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming language(s) and deep expertise in software architecture, applications, and technical processes.
  • Experience applying enterprise-authorized AI capabilities within architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Strong judgment and communication skills to influence technical direction across teams.
  • Agentic AI architecture: hands-on experience building agentic systems and memory patterns with human-in-the-loop controls.
  • Public cloud implementation: experience implementing AI/data/ integration in public cloud environments.
  • AI/ML foundations: understanding of LLMs, embeddings, prompt design, and model selection.

Responsibilities

  • Represents a product family in technical governance bodies and proposes improvements to architecture governance practices.
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
  • Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
  • Guides evaluation of current and new technologies using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions where appropriate.
  • Drives decisions that influence product design, application functionality, and technical operations and processes.
  • Develops secure and high-quality production code, and reviews and debugs code written by others.
  • Serves as a function-wide subject matter expert and contributes to the engineering community as an advocate of firmwide SDLC frameworks and practices.
  • Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.
  • Architect and build custom agentic systems that support Employee Platforms use cases across employee experience, workflow automation, knowledge discovery, service operations.
  • Design prototypes, reference implementations, reusable patterns, and evaluation harnesses that help engineering teams move agentic AI capabilities safely from concept to production.
  • Implement AI and agentic solution patterns in public cloud environments, with practical attention to APIs, data access, deployment automation, observability, resilience, and operational support.

Skills

Architecture concepts
Cloud & AI
Programming languages
Communication

Tools

Public cloud environments
AI governance frameworks

Job description

JPMorganChase is seeking a Senior Lead Architect within the Corporate Sector, Employee Platforms. You will shape agentic AI capabilities, design scalable architectural solutions, and guide cross-functional teams across enterprise-scale initiatives.

The role blends hands-on delivery with architectural leadership, advancing AI-enabled engineering patterns while ensuring security, compliance, and operational excellence across public cloud environments.

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