Applied AI ML-Senior Associate

Testing Site - JPMC; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Chase is seeking an Applied AI Engineer-Senior Associate to join its Consumer & Community Banking ML team in Columbus, OH. You will apply deep technical expertise to build trusted machine learning products that are secure, scalable, and production-ready.

You will lead the development of ML models and data pipelines, mentor teammates, and align ML initiatives with business goals while adhering to firm-wide SDLC standards. The role emphasizes collaboration and measurable impact across platforms.

Qualifications

• Undergraduate and master’s degrees in CS with LLM/NLP and search.
• Proven track record building and scaling software/ML platforms.
• Experience in ML frameworks and MLOps practices.
• Strong programming in Python/Java and IaC (Terraform, CloudFormation).
• Proficient in building AI Agents (LangChain, LangGraph, AutoGen) and tool integration.
• Hands-on with SDLC pipelines and orchestration tools (Jenkins, GitLab CI/CD).

Responsibilities

• Regularly provides technical guidance to support the business and its technical teams, contractors, and vendors.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives decisions that influence product design, application functionality, and technical operations.
• Actively contributes to the engineering community as an advocate of firmwide SDLC frameworks, tools, and practices.
• Influences peers and project decision-makers to consider leading-edge technologies.
• Drive innovation in ML solutions, ensuring scalability and future-proof architecture.
• Act as a thought leader to executive leadership, providing strategic recommendations on ML initiatives.
• Architect and oversee the development of next-generation ML models and systems leveraging cutting-edge tech.
• Ensure the platform supports real-time predictions, big data processing, and advanced analytics.
• Promote software and model quality, integrity, and security across the organization.

Skills

LLM/NLP

Python/Java

APIs

CI/CD

LangChain

RAG OpenSearch

Jenkins/GitLab

Education

BS/MS CS

Tools

Terraform

CloudFormation

OpenSearch

Jenkins

GitLab CI/CD

Job description

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.

As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics

• Promote software and model quality, integrity, and security across the organization

Required qualifications, capabilities, and skills

• Undergraduate and master’s degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
• Experience in machine learning frameworks, ML Ops tools and practices.
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents(e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)

Preferred qualifications, capabilities, and skills

• Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).