Lead Software Engineer- Agentic Gen AI Natural Language Querying
Share
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Are you passionate about building the next generation of AI solutions Join us to lead and mentor a team of talented engineers drive innovation in generative and agentic AI and deliver impactful scalable technology for Risk Technology. Youll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk.
As aLead Agentic Gen AI / Natural Language Querying Engineer Vice President at JPMorgan Chasein Risk Technology you will lead a specialized technical area driving impact across teams technologies and projects. You will leverage your expertise in software engineering multi-agent system design data science and NLQ to deliver complex high-impact initiatives. You will mentor and guide a team of engineers foster best practices in AI engineering and partner with data science product and business teams to deliver end-to-end solutions that drive value for the Risk business.
Job responsibilities:
- Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business with a focus on natural language querying of structured and unstructured data sources.
- Design and execute enterprise-wide reusable AI frameworks and core infrastructure to accelerate AI solution development including NLQ capabilities for diverse data types.
- Develop multi-agent systems for orchestration agent-to-agent communication memory telemetry guardrails and NLQ-driven data retrieval and processing.
- Guide research on context and prompt engineering techniques to improve prompt-based model performance and NLQ accuracy utilizing libraries such as LangGraph.
- Develop and maintain tools and frameworks for prompt-based agent evaluation monitoring and optimization at enterprise scale with emphasis on NLQ workflows and orchestration.
- Build and maintain data pipelines and processing workflows for scalable efficient consumption and querying of structured and unstructured data via natural language interfaces.
- Write secure high-quality production code and conduct code reviews.
- Partner with Data Science Product and Business teams to identify requirements and develop NLQ-enabled solutions.
- Communicate technical concepts and results to both technical and non-technical stakeholders including senior leadership.
- Provide technical leadership mentorship and guidance to junior engineers promoting a culture of excellence and continuous learning.
Required qualifications capabilities and skills:
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
- Experience in data science and natural language querying including experience deploying end-to-end pipelines on AWS.
- Strong proficiency in Python.
- Hands-on experience in system design application development testing and operational stability.
- Experience using LangGraph for multi-agent orchestration and NLQ integration.
- Experience with AWS and infrastructure-as-code tools such as Terraform.
Preferred qualifications capabilities and skills:
- Strategic thinker with the ability to drive technical vision for business impact.
- Experience with agentic telemetry evaluation services and orchestration of NLQ workflows.
- Demonstrated leadership working with engineers data scientists and AI practitioners.
- Familiarity with MLOps practices and AI pipelines.
- Hands-on experience building and maintaining user interfaces for NLQ and data exploration.
Required Experience:
Unclear Seniority
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
