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JPMorganChase

Agent Specialist Lead - Vice President - Technical Product Manager - GenAI Enablement

Posted 2 Days Ago
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Hybrid
London, Greater London, England
Senior level
Hybrid
London, Greater London, England
Senior level
Lead the deployment of LLM-powered systems, collaborate with stakeholders to implement high-impact use cases, and enhance agent orchestration and performance.
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Job Description
Join us to shape the future of Generative AI in the Commercial & Investment Bank. You will have the opportunity to work with cutting-edge technology and collaborate with talented teams across multiple business lines. Your expertise will help us deliver innovative agentic solutions that automate complex workflows and drive business impact. We value your technical depth, creativity, and ability to translate ideas into operational excellence. Be part of a team that is leading the way in AI adoption and transformation.
As an Agent Specialist Lead in the GenAI Enablement Team within the Chief Analytics Office, you will advise and guide teams in designing, implementing, and scaling agentic systems that extend our Generative AI capabilities. You will work closely with stakeholders, product managers, data scientists, and engineering partners to operationalize LLM-powered agents that automate reasoning, retrieval, and workflow execution across the Commercial & Investment Bank. Your role will be central to driving the adoption of GenAI tools and frameworks, including our proprietary LLM Suite platform. You will help foster a collaborative and innovative team culture focused on delivering impactful AI solutions.
Job Responsibilities:
  • Lead the deployment, and support of LLM-powered agentic systems, ensuring scalability, observability, and high performance in production environments.
  • Collaborate with business stakeholders to identify high-impact use cases and translate business requirements into agentic architectures integrated with existing data and workflow platforms.
  • Provide technical guidance to cross-functional teams, fostering hands-on learning and effective collaboration across research, engineering, and product functions.
  • Enhance agent orchestration, retrieval, and reasoning capabilities in partnership with engineering teams to improve performance, reliability, and resilience at scale.
  • Work with AI researchers, ML engineers, and developers to advance agentic design, including dynamic planning, tool use, and multi-agent collaboration.
  • Troubleshoot and optimize deployments, ensuring smooth implementation, compliance with risk controls, and continuous performance improvement.

Required Qualifications, Capabilities, and Skills:
  • Significant experience in AI, machine learning, or intelligent systems, with recent experience building or deploying LLM-powered or agentic solutions.
  • Hands-on experience designing and implementing multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI, with practical understanding of LLM orchestration, retrieval augmentation (RAG), tool calling, and dynamic reasoning.
  • Experience integrating agentic systems into enterprise data and workflow environments, ensuring robustness, and maintainability.
  • Proficiency in Python, with experience extending orchestration components and building APIs or tool interfaces.
  • Experience deploying AI systems on cloud platforms using Docker, Kubernetes, and microservices integration.
  • Experience deploying and optimising GenAI and LLM-based systems, including performance evaluation and monitoring.
  • Strong analytical foundation with the ability to reason about system performance, model behaviour, and control trade-offs.
  • Proven ability to influence and align cross-functional teams through collaboration.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering or a related technical field required.
  • Strong communication skills for technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:
  • Familiarity with risk controls and compliance in AI deployments.
  • Ability to drive innovation in agentic system design and orchestration.
  • Experience in financial services or enterprise environments.
  • Track record of mentoring and developing talent in AI teams.

Why Join Us?
You will be part of a forward-thinking team driving the GenAI strategy for the Commercial & Investment Bank. We offer opportunities for career growth, hands-on learning, and the chance to make a meaningful impact through innovative AI solutions. Collaborate with experts, work on industry-leading projects, and help shape the future of AI at our firm.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Top Skills

AI
Autogen
Crewai
Docker
Kubernetes
Langchain
Langgraph
Machine Learning
Microservices
Python

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