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JPMorgan Product Solutions Director Agents Specialist United States, New Jersey, Jersey City 637867251
Yesterday
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Job responsibilities
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Lead and mentor a team of agent specialists, fostering a collaborative and innovative environment to drive team performance and professional growth.
- Provide technical expertise empowering our internal clients to design and implement agent-based solutions.
- Engage with clients to understand their needs, provide expert guidance, and ensure successful deployment and integration of agent solutions.
- Collaborate with product and engineering to enhance agent capabilities and ensure seamless integration with existing systems and processes.
- 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 firm.
- Provide thought leadership and contribute to technical white papers on Agentic implementations.
Required qualifications, capabilities, and skills
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients’ needs
- 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 and 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.
- Experience leading global teams.
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