Advanced Applied AI Team - Applied AI ML Senior Associate

About the role

Join the team that utilizes GenAI technologies to develop impactful solutions and collaborate with data scientists, engineers, and product managers to explore and apply GenAI models. As an Applied AI Senior Associate on the Advanced Applied AI Team, you will play a pivotal role in utilizing GenAI technologies to develop impactful solutions, address complex business challenges, oversee design, conduct research, create prototypes, demonstrate concepts, and assist in the implementation and optimization of AI‑driven projects.

Responsibilities

• Lead the design and implementation of AI‑driven projects, focusing on the application of Generative AI (GenAI) technologies to solve complex business challenges.
• Collaborate with data scientists, engineers, and product managers to explore and apply GenAI models, ensuring alignment with business objectives.
• Conduct research, create prototypes, and demonstrate concepts to stakeholders, showcasing the potential of AI solutions.
• Oversee the data processing and machine‑learning model building processes, ensuring high‑quality implementation and integration.
• Develop and maintain systematic approaches to problem‑solving, leveraging both technical and non‑technical skills.
• Communicate complex AI concepts effectively to diverse audiences, tailoring presentations to meet the needs of different stakeholders.
• Manage stakeholder relationships, translating business and technical requirements into comprehensive data‑science technical requirements with clearly defined scopes.
• Utilize project‑management skills to identify key tasks, understand task inter‑dependencies, and estimate task complexity to derive reasonable execution timelines.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or any STEM field, or equivalent experience.
• Proven experience designing and implementing GenAI or AI/ML solutions within a large enterprise, with a background in managing complex, cross‑functional projects.
• Comprehensive understanding of AI/ML concepts, technologies, methodologies, and industry trends, with a focus on GenAI.
• Proficiency in data‑processing techniques and in building and implementing ML models or GenAI applications.
• Strong problem‑solving skills, with the ability to apply systematic approaches to complex challenges.
• Competent stakeholder‑management skills, able to translate customer requirements into actionable data‑science solutions and collaborate across teams and departments.
• Enthusiasm for acquiring new Generative AI skills and staying informed about industry advancements and trends.
• Basic understanding of project‑management principles, including task identification, inter‑dependency analysis, and complexity estimation to ensure timely project execution.

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also support small businesses, nonprofits, and cities with solutions that meet all their financial needs.

We offer a competitive total‑rewards package, including a base salary determined by role, experience, skill set, and location. Eligible employees may receive commission‑based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, in recognition of individual achievements. A range of benefits and programs are available based on eligibility.

Benefits

• Comprehensive health‑care coverage
• On‑site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Additional benefits and programs tailored to employee needs

About the Team

Our Consumer & Community Banking division serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small‑business loans, and payment processing. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages while providing value and protection for customers. The team spans data governance, strategy, reporting, data science, and machine learning, and works closely with Technology to deliver cutting‑edge data and analytics infrastructure, powering insights that drive the best customer and business outcomes.