Vice President AIML Ops Engineer

Join our dynamic team at JPMorgan Chase as the Vice President and Lead for Applied AI/ML. Youll spearhead the development of cutting-edge GenAI applications including Search Chatbots and Agents to tackle exciting challenges in commercial banking and financial services. Be part of a vibrant technology team dedicated to pushing the boundaries of AI and enhancing business success.

As Vice President AI/ML Ops Engineer you will drive the end-to-end development and deployment of GenAI-powered applications leveraging your expertise in AI NLP LLM and deep learning to deliver enterprise-level solutions. You will collaborate across teams to optimize system architecture ensure operational stability and foster a culture of innovation and inclusion.

Job responsibilities

• Lead the end-to-end development and deployment of GenAI-powered applications (search chatbots agents).
• Leverage expertise in AI NLP LLM and deep learning to improve business outcomes and processes.
• Design enterprise-level solutions for LLM and GenAI use cases on cloud platforms (AWS/Azure).
• Drive development testing deployment monitoring and continuous operations for high-performant high-volume cloud applications.
• Implement innovative software solutions and troubleshoot complex problems beyond routine methodologies.
• Utilize tools like Terraform IaC Splunk Dynatrace Grafana Prometheus and Datadog to build scalable and maintainable systems.
• Optimize system architecture operational stability coding hygiene and troubleshooting workflows.
• Advance production engineering and automation practices.
• Contribute to engineering communities fostering a culture of innovation diversity and inclusion.
• Participate in SRE and production support activities.

• Communicate complex technical concepts and solutions to both technical and non-technical stakeholders.

  
  

  Required qualifications capabilities and skills

• Formal training in software engineering with 12 years of applied technical experience.
• Strong hands-on expertise in system design application development debugging fine-tuning and operational support.
• Deep knowledge of Python (including frameworks like FastAPI) enterprise-level application microservices architecture and APIs with hands-on experience in deploying to AWS for scalable AI workflows.
• Proficiency in AWS services (EC2 ECS EKS Lambda DynamoDB RDS Redshift EMR OpenSearch Stepfunctions Kinesis).
• Experience developing and maintaining production-grade multi-agent systems and GenAI/LLM-specific applications.
• Good understanding of one or more AI agentic frameworks (e.g. Google ADK LangGraph LangChain CrewAI).
• Solid grasp of CI/CD (Spinnake) agile development application resiliency monitoring and security best practices.

Preferred qualifications capabilities and skills

• Deep understanding of LLM and GenAI concepts and implementations.
• Good understanding of Google ADK and A2A protocol.
• Strong skills in SQL relational databases and data modeling (e.g. Aurora RDS Postgres DynamoDB).
• Familiarity with Jupyter model training environments.