Product Solutions Director - Agentic AI

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

As a Regional Agent Specialist reporting under the Global Agent Specialist within the firmwide CDAO Organization, you will collaborate with regional product managers and client teams to support Agentic development. Your role involves providing expert guidance and empowering clients to implement Agents and create business value. With strong communication and stakeholder management skills, you will cultivate collaborative relationships with Product, Engineering, and Architecture teams across JPM Lines of Business, Corporate Functions, and Internal Fusion Product and Engineering Teams to drive priority outcomes.

Job Responsibilities

Align your priorities with those of the Global Agent Specialist, establishing effective communication and workflows to regularly update them on progress.

Provide technical expertise to empower regional clients to design and implement agent-based solutions.

Engage with Global Agent Specialist to understand the client's needs, provide expert guidance to the clients located in the region and ensure successful deployment and integration of agent solutions.

Collaborate with regional product and engineering teams to enhance agent capabilities and ensure seamless integration with existing systems and processes.

Support Global Agent Specialist to develop best practices for Agentic Systems architecture and integration, including performance monitoring, optimization, and evaluation.

Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI.

Develop prototypes, blueprints, and demos for rolling out education and training across the region.

Provide thought leadership and contribute to technical white papers on Agentic implementations.

Required Qualifications, capabilities and skills

Experience in multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI.

Hands-on experience building or using LLM-powered Agentic solutions.

Experience in developing, training, and deploying machine learning models, Gen AI models, including knowledge of model evaluation and optimization techniques.

Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.

Experience in Financial Services or other highly regulated industries.

Strong foundation in mathematics and statistics, including knowledge of linear algebra, calculus, probability, and statistical methods.

Preferred Qualifications, capabilities and skills

Experience in financial or banking domain