Applied AI Engineer-Sr. Associate

Applied AI Engineer‑Sr. Associate – JPMorgan Chase

As a Senior Applied AI ML Engineer within the Consumer & Community Banking Machine Learning organization, you will be an integral part of an agile team that enhances, builds, and delivers trusted, market‑leading technology products in a secure, stable, and scalable manner. Your deep technical expertise and problem‑solving methodologies will drive significant business impact across multiple technologies and applications.

• Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develop secure, high‑quality production code, and review and debug code written by others.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Serve as a function‑wide subject matter expert in one or more areas of focus.
• Actively contribute to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Influence 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.

• Formal training or certification on software engineering concepts and 5+ years applied AI experience.
• Proven track record of building and scaling software and/or machine learning platforms in high‑growth or enterprise environments.
• 5+ years of hands‑on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript.
• Deep understanding of distributed systems, cloud‑native architectures, and modern machine learning technologies.
• Experience in cloud platforms such as AWS, GCP, or Azure.
• Knowledgeable 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, Cloud Formation).
• Proficient in building AI Agents (e.g., Lang Chain, Lang Graph, Auto Gen), 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, Git Lab CI/CD).
• Exceptional ability to communicate complex technical concepts to both technical and non‑technical audiences.
• Hands‑on experience with big data, pipeline, orchestration tools and real‑time processing frameworks.

• Certified as AWS Solutions Architect, Certified Developer, or similar certification.

The Consumer & Community Banking division serves 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. 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.

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.