TAAFT
Free mode
100% free
Freemium
Free Trial
Create tool

Vice President - Generative Artificial Intelligence Solutions

JPMorganChase
On-site
Washington, DC, Unites States
Full-time
$164,350 - $260,000

About JPMorganChase

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.

About the Role

The Generative AI team in Consumer Home Lending is enabling the practical application of generative AI to transform how Chase serves customers and empowers employees. We operate across three pillars: Solutions (building production-ready AI applications), Governance (ensuring responsible AI deployment), and Enablement (spreading AI capabilities throughout the organization).

As an Applied AI Vice President within our Consumer and Community Banking Home Lending Generative AI solutions team, you will play a pivotal role in developing solutions and experimenting with state-of-the-art models. You will join our dynamic team dedicated to building high-impact solutions using generative technologies. We are focused on developing a leading Generative AI program and environment that will empower our users. Our team actively collaborates with customers to develop, optimize, and support business-critical use cases, ensuring that our platform meets the evolving needs of our clients.

Qualifications

5 years + python development experience in a machine learning role.

Experience of Generative AI builds, Agents and MCP.

Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).

Hands-on experience with machine learning and deep learning methods.

Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow; embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).

Ability to work on tasks and projects through to completion with limited supervision.

Passion for detail and follow through. Excellent communication skills and team player.


Preferred qualifications, capabilities, and skills:

Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.

Experience of all LLM models and their capabilities.

Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Responsibilities

Serve as a subject matter expert on a wide range of Gen AI techniques and optimizations.

Provide in-depth knowledge of AI models.

Provide leadership and mentorship for junior team members.

Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.

Conduct experiments using latest Generative AI technologies, analyzing results.

Provide Hands on coding to bring the experimental results into production solutions by collaborating with engineering team.

Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.

Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.

Integrate Generative AI within the ML Platform using state-of-the-art techniques.

Benefits

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.
0 AIs selected
Clear selection
#
Name
Task