Data Engineer

Applied AI ML Associate Senior- Python/Java , AWS

Seeking AI/ML technical leader to drive innovative banking solutions and advance analytics in financial services.

As an Applied AI ML Associate Sr within 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

• Contribute towards 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 4+ 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)/Java, microservices architecture, and APIs.
• Proficiency 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 applications.
• Hands-on experience with Apache Kafka for building and operating event-driven/streaming pipelines.
• Strong skills in SQL, relational databases, and data modeling (e.g., Aurora RDS, DynamoDB, RDS).

• Experience with CI/CD tools

   

• Ability to solve complex design and functionality challenges independently.

• Excellent communication and interpersonal skills for collaborating within and across teams.

   

Preferred qualifications, capabilities and skills

• 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.
• Spinnaker experience is preferred

 

 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Mid Level