As an Agent Specialist Analyst in JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will assist in providing foundational technical support to help internal clients design and implement agent-based solutions. You will collaborate with cross-functional teams to enhance agent capabilities and ensure seamless integration with existing systems. You will contribute to creating best practices for Agentic Systems architecture and foster a collaborative and innovative team environment.
Job Responsibilities:
- Assist in providing foundational technical support to help internal clients design and implement agent-based solutions effectively.
- Aid the team lead in preparing materials and technical components for client engagements, ensuring a clear understanding of client needs and supporting the successful deployment and integration of agent solutions.
- Support the team lead in working with product and engineering teams to enhance agent capabilities and ensure seamless integration with existing systems and processes.
- Assist in the creation of best practices for Agentic Systems architecture and integration, focusing on performance monitoring, optimization, and evaluation.
- Support your manager in working with AI researchers, ML engineers, and software developers to advance the capabilities of Agentic AI.
- Learn and contribute to fostering a collaborative and innovative team environment that drives performance and professional growth.
Required Qualifications, Capabilities, and Skills:
- Enthusiastic to learn multi-agent architectures and frameworks like LangChain, AutoGPT, CrewAI.
- Excited about building or using LLM-powered Agentic solutions.
- Familiarity with developing, training, and deploying machine learning models, Gen AI models, and knowledge of model evaluation and optimization techniques.
- Basic understanding of 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.
- Strong foundation in mathematics and statistics, including knowledge of linear algebra, calculus, probability, and statistical methods.
- Ability to work effectively in a team environment.
Preferred Qualifications, Capabilities, and Skills:
- Experience or interest in Financial Services or other highly regulated industries.