Applied AI ML-Vice President

JPMorganChase; Columbus (OH); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase is looking for a Senior Associate in Applied AI Engineering based in Columbus, Ohio. The role involves driving innovations in machine learning, developing secure and high-quality code, and working with an agile team. Candidates should have a BS in Computer Science and a strong background in machine learning, particularly with LLM/NLP technologies. Competitive compensation and benefits are offered, promoting health, wellness, retirement options, and more.

Qualifications

• 5+ years experience in software or machine learning platforms.
• Strong track record in building and scaling systems.
• Familiarity with ML Ops tools and best practices.

Responsibilities

• Provide technical guidance to teams and vendors.
• Develop secure and high-quality production code.
• Drive decisions that influence product and application design.
• Act as a thought leader and trusted advisor on machine learning.

Skills

Proficiency in Python

Experience with LLM/NLP

Machine learning frameworks

Engineering programming languages

Infrastructure as code

Building AI Agents

Software development pipeline

Education

BS in Computer Science or similar

MS in Computer Science or similar

Tools

Terraform

CloudFormation

Jenkins

GitLab CI/CD

Job description

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 an 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

• BS in Computer science or similar fields with 5+ years experience or MS in Computer science or similar fields with 3+ years experience, 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).

Compensation & Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting‑edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Equal Opportunity Employer / Disability / Veterans

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.