We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Applied AI ML Associate Senior at JPMorgan Chase within Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment.
- Conduct research on prompt and context engineering techniques to enhance the performance of LLM-based solutions.
- Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
- Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations.
- Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
- Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
- Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
- Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation.
Required Qualifications, Capabilities, and Skills
- Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
- 3+ years of applied experience in data science, machine learning, or related areas.
- Strong programming skills in Python, with experience in PySpark, Spark SQL, Dataframes
- Experience LLM Orchestration and Agentic AI libraries
- Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
- Experience in building AI Agents, Agentic frameworks and MCP Servers.
- Experience in building and managing data lakes and data processing workflows using Databricks.
- Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
- Strong troubleshooting and problem-solving skills.
- Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.Ability to mentor and guide other team members.
Preferred Qualifications, Capabilities, and Skills
- Proficiency in all other AWS components—preferably AWS certified.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
- Experience in full stack development including Java/J2EE based microservices, React UI