Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. 
 

As an Applied AI ML Lead at JPMorgan Chase within the Commercial & Investment Bank's Global Bank Technology team, you will drive innovation by leading cutting-edge GenAI applications, such as search tools, chatbots, and AI agents to solve complex challenges in Global bank financial services. Collaborate with a forward-thinking team to enhance global business operations and technology solutions. 

 

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 like AWS/Azure.Drive development, testing, deployment, monitoring, and continuous operations for cloud-based high-performant, high-volume 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.Contribute to SRE / Production support activities.

 

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), microservices architecture, and APIs.Experience in AWS services such as EC2, ECS, EKS, Lambda, DynamoDB, RDS (Aurora/Postgres), Redshift, EMR, OpenSearch, Stepfunctions and Kinesis.Experience designing cloud-ready solutions and developing strategies for GenAI and LLM-specific applicationsStrong skills in SQL, relational databases, and data modeling (e.g., Aurora RDS, DynamoDB, RDS).Solid grasp of CI/CD (Spinnaker), agile development, application resiliency, and security best practices.Deep understanding of LLM and GenAI concepts and implementations.Familiarity with software development life cycle (SDLC) and enterprise-level application architectures.Ability to solve complex design and functionality challenges independently.

 

Preferred qualifications, capabilities, and skills

Familiarity with Jupiter model training environment.Experience working with back-end technologies, containerization (Docker, ECS, EKS), and GenAI agentic frameworks.Hands-on experience with modern cloud technologies, particularly AWS, for scalable AI workflows.Deep technical expertise, a passion for AI/ML-driven solutions, and a desire to push the boundaries of innovation in banking and financial services.