Applied AI Lead Data Scientist - Vice President

Job Description

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.

• 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

• 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

• 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 Graph
  
  QL endpoints
• Hands‑on experience implementing distributed, multi‑threaded, and scalable applications using frameworks such as Ray, Horovod, or Deep Speed
• Relocation assistance is not available for this role.

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,…