Applied AI Lead Data Scientist - Vice President

Job Description
Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices.
As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders.
Job Responsibilities

• Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
• Bridge scientific research and software engineering, applying expertise in both domains
• Collaborate with engineering teams to lead the design and delivery of GenAI products
• Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications
• Integrate GenAI solutions with enterprise platforms using API-based methods
• Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
• Align ML problem definition with business objectives
• Communicate technical information and ideas effectively to stakeholders

Required Qualifications, Capabilities, and Skills

• Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
• Ten years of experience in an individual contributor role in ML engineering
• Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms
• Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models
• Experience integrating GenAI solutions with enterprise platforms via standardized API patterns
• Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails
• Excellent grasp of computer science fundamentals and SDLC best practices
• Strong communication skills to build trust with stakeholders

Preferred Qualifications, Capabilities, and Skills

• PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics
• Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray
• Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints
• Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed

*** Relocation assistance is not available for this role.
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 financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
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.
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.