Vice President - AIML Ops Engineer

JPMorganChase•Plano, TX

About The Position

Join our dynamic team at JPMorgan Chase as the Vice President and Lead for Applied AI/ML. You'll 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.

Requirements

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.

Nice To Haves

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.

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.