Lead Agentic Gen AI - Natural Language Querying Engineer, Vice President
Company: JPMorganChase
Location: Jersey City
Posted on: April 2, 2026
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Job Description:
Description 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.
You’ll collaborate with cross-functional partners and play a key
role in shaping the future of Asset and Wealth Management Risk. As
a Lead Agentic Gen AI - Natural Language Querying Engineer, Vice
President in 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: Bachelor’s or Master’s degree in Computer Science,
Engineering, Data Science, or a related field. 10 years of
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.
Keywords: JPMorganChase, Yonkers , Lead Agentic Gen AI - Natural Language Querying Engineer, Vice President, IT / Software / Systems , Jersey City, New York
