Lead Software Engineer - Agentic AI

JPMorgan Chase & Co. • Jersey City, NJ

6h • $156,750 - $215,000

About The Position

As a Lead Software Engineer with JPMorganChase in Enterprise Technology Cloud Foundational Services, you will contribute to an agile team building and delivering trusted technology products in a secure, stable, and scalable manner. You will deliver critical technology solutions across technical areas in support of the firm's business objectives.

The role focuses on end-to-end cloud-native, microservices-based applications and production-grade agentic AI systems. You will design and deploy resilient AWS applications and manage cloud infrastructure with Terraform, while promoting responsible, validated use of enterprise-authorized AI-assisted engineering tools. You will also help improve operational stability, lead engineering communities of practice, and deliver scalable, secure, reliable solutions.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Experience leading effective use of approved AI-assisted software development tools and setting expectations for validating AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption.
• Proficiency in back-end technologies such as Python, Flask, or Django, and experience building microservices-based applications. For full-stack roles, proficiency also includes front-end technologies such as HTML, CSS, JavaScript, TypeScript, React, or Angular.
• Hands-on experience developing and deploying resilient applications on AWS, including core AWS services, high-availability design patterns, disaster recovery strategies, and AWS Well-Architected Framework principles.
• Hands-on experience provisioning cloud infrastructure with Terraform, including modular and reusable infrastructure-as-code, remote state management, and CI/CD integration.
• Hands-on experience building agentic AI applications with one or more frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents, including multi-agent workflows, tool integrations, memory management, and orchestration.
• Experience with cloud platforms such as AWS, Azure, or GCP; distributed systems; and web technologies including RESTful APIs, web services, WebSockets, and JSON.
• Experience with agile development methodologies such as Scrum and understanding of the software development life cycle.
• Advanced understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.
• Proficiency in software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.

Nice To Haves

• Strong presentation, negotiation, mentoring, and stakeholder management skills.
• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• Experience in the banking domain.
• AWS certification, such as AWS Certified Solutions Architect Associate or Professional, AWS Certified DevOps Engineer, or AWS Certified Machine Learning – Specialty.
• Experience with AWS CDK or CloudFormation as complementary infrastructure tooling alongside Terraform.
• Familiarity with LLM evaluation frameworks, prompt engineering, and responsible AI practices in agentic system design.

Responsibilities

• Design, develop, troubleshoot, and deliver creative software solutions, addressing technical problems beyond routine approaches.
• Deliver end-to-end cloud-native, microservices-based applications using current technologies and industry best practices.
• Design, develop, and deploy resilient, fault-tolerant AWS applications using services such as ECS, EKS, Lambda, RDS, S3, and API Gateway.
• Provision, manage, and maintain cloud infrastructure with Terraform, using infrastructure-as-code practices and reusable modules across development, staging, and production.
• Architect and build production-grade agentic AI applications with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents.
• Identify opportunities to eliminate or automate remediation of recurring issues and improve application and system stability.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices, establish validation standards, and promote reuse of effective patterns.
• Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Lead software engineering communities of practice to increase awareness and use of emerging technologies.
• Investigate and resolve issues promptly and prevent their recurrence.
• Design and build scalable, secure, and reliable solutions using modern architectural patterns, including zero-downtime releases and data performance optimization.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed