DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer-Agentic AI/Python at JPMorgan Chase within the Corporate Technology-Consumer and Community Banking Risk Technology team youare 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 using Agentic AI pattern. 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 firms 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
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering 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)/framework(s): Java/Spring Boot Python/FAST API
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Engineering mindset entrepreneurship spirit while considering mandatory controls and governance.
Preferred qualifications capabilities and skills
- Demonstrated hands-on experience building and maintaining user interfaces with the React framework
- Knowledge and experience in creating LLM pipelines or agentic workflows in a solution or PoC (proof of concept).
- Experience with LLM/agentic framework e.g. LangChain/LangGraph AutoGen JPMC SmartSDK
- Experence with Agentic telemetry and evaluation services e.g. Arize Phoenix LangSmith JPMC AgentTracingSDK.
Required Experience:
Unclear Seniority
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer-Agentic AI/Python at JPMorgan Chase within the Corporate Technology-Consumer and Community Banking Risk Technology team youare an integral part...
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer-Agentic AI/Python at JPMorgan Chase within the Corporate Technology-Consumer and Community Banking Risk Technology team youare 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 using Agentic AI pattern. 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 firms 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
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering 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)/framework(s): Java/Spring Boot Python/FAST API
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Engineering mindset entrepreneurship spirit while considering mandatory controls and governance.
Preferred qualifications capabilities and skills
- Demonstrated hands-on experience building and maintaining user interfaces with the React framework
- Knowledge and experience in creating LLM pipelines or agentic workflows in a solution or PoC (proof of concept).
- Experience with LLM/agentic framework e.g. LangChain/LangGraph AutoGen JPMC SmartSDK
- Experence with Agentic telemetry and evaluation services e.g. Arize Phoenix LangSmith JPMC AgentTracingSDK.
Required Experience:
Unclear Seniority
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