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JPMorganChase
Lead Software Engineer AI for Risk TechnologyJPMorganChase • London, England, UK
Lead Software Engineer AI for Risk Technology

Lead Software Engineer AI for Risk Technology

JPMorganChase • London, England, UK
30+ days ago
Job type
  • Full-time
Job description
Description

As a Lead Software Engineer for AI Vice President at JPMorgan Chase 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

  • 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:

IC


Employment Type : Full-Time
Experience: years
Vacancy: 1
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Lead Software Engineer AI for Risk Technology • London, England, UK

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