Lead Software Engineer - AI
at J.P. Morgan
Posted 18 days ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
As a Lead Software Engineer - AI within Corporate Technology at JPMorgan Chase (based in Jersey City, NJ), you will lead the design and delivery of AI-driven automation and software solutions. You will develop secure, high-quality production code, leverage agentic AI frameworks and LLMs, and automate software upgrades, deployments, and CI/CD integrations. The role involves technical troubleshooting, evaluating vendor and architectural options, and leading communities of practice to adopt emerging technologies. Requires formal training and 5+ years of applied software engineering experience with proficiency in languages like Java or Python.
Location: Jersey City, NJ, United States
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Experience in software development, with a focus on automation and AI.
- Hands-on experience with Agentic AI frameworks, LLMs, or intelligent agents.
- Experience using AI to automatically upgrade software.
- Proven track record of automating software upgrades, deployments, or migrations.
- Proficiency in one or more programming languages (e.g., Java, Python, Kotlin).
- Experience integrating automation with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
- Strong problem-solving skills and attention to detail.
- Excellent verbal and written communication skills.
Preferred Qualifications, Capabilities, and Skills
- Experience with OpenRewrite or similar code transformation tools.
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, Ansible).
- Knowledge of software security, compliance, and quality assurance practices.
- Experience working in regulated industries (e.g., finance, healthcare).
