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$192,050–$224,325.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Lead Software Engineer- Agentic Identity within the Consumer & Community Banking team, you will serve as a core technical contributor focused on building secure, stable, and scalable technology products. You will develop high-quality production code, troubleshoot complex problems, and drive the adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and quality. Your role involves leading evaluation sessions with vendors and internal teams while managing communities of practice for emerging technologies. You will utilize Java or Python to solve challenges in identity and access management, specifically focusing on OAuth 2.0, OpenID Connect, and token-based authorization frameworks. Crucially, you will secure agentic AI systems by defining authentication models for non-human principals and implementing delegated authorization patterns within distributed environments while ensuring responsible AI usage and adherence to security standards across the software development lifecycle.
Develop secure, high-quality production code while reviewing and debugging code written by other team members.
Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
Establish consistent validation standards for AI outputs including security, performance, and peer review protocols.
Identify and automate the remediation of recurring issues to improve the operational stability of software systems.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Lead communities of practice to promote the use of emerging technologies across the engineering organization.
Implement identity and access management (IAM) standards for distributed, multi-agent environments.
Secure agentic AI systems by defining authentication and authorization models for non-human principals at scale.
What we're looking for
Formal training or certification on software engineering concepts and 5+ years of applied experience.
Advanced proficiency in one or more programming languages such as Java or Python.
Demonstrated experience leading the use of approved AI-assisted development tools while establishing validation standards for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
Expertise in identity and access management (IAM), including OAuth 2.0, OpenID Connect, and token-based authorization frameworks.
Practical experience securing agentic AI systems and familiarity with emerging agentic integration standards like Model Context Protocol.
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
Proficiency in technical processes within a discipline such as AWS, cloud, artificial intelligence, or machine learning.
Working knowledge of delegated authorization patterns, token exchange flows, and least-privilege scope models (preferred).
Exposure to verifiable credential frameworks or decentralized identity concepts for machine-to-machine trust (preferred).
Experience defining lifecycle management policies for non-human identities (preferred).