Qualifications

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
• Proven experience in deploying agentic AI applications in production environments
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn
• Proficiency in Python programming, including writing comprehensive tests and building evaluation harnesses for agents and prompts
• Hands-on experience with popular agent frameworks like LangChain, CrewAI, AutoGen, or LangGraph
• Solid understanding of generative models—including transformers, GANs, VAEs, and diffusion models
• Familiarity with data preprocessing, feature engineering, and evaluation techniques
• Experience with cloud platforms and containerization technologies
• Strong problem-solving skills
• Ability to work independently and collaboratively
• Effective communication skills for both technical and non-technical audiences

Responsibilities

• Architect, develop, and deploy autonomous and assistive AI agents to optimize operational workflows and improve efficiency across business units
• Design and implement multi-agent systems, including defining roles, integrating tools, planning, managing memory, and orchestrating workflows using modern agent frameworks
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search functionalities utilizing vector databases, including indexing, retrieval policies, and evaluation metrics
• Build and integrate agent tools and APIs to connect AI agents with external services, databases, and internal systems, ensuring robust output parsing and error handling mechanisms
• Apply advanced prompt engineering techniques, and establish output validation and guardrails to minimize hallucinations and ensure reliability
• Design microservices-based architectures and orchestrate complex multi-step workflows, while instrumenting agents for tracing, metrics collection, and feedback loops
• Collaborate with stakeholders to gather requirements, design intuitive human-AI interfaces, and deliver solutions that generate measurable business impact
• Analyze operational data to enhance agent capabilities, optimize retrieval processes, and support data-driven decision-making through A/B testing and performance evaluations
• Mentor team members on best practices related to agent frameworks, large language models, safety, and ethical AI deployment

Benefits

• Competitive salary package
• Comprehensive benefits, including health insurance, retirement plans, and wellness programs
• Ongoing professional development opportunities, including training, certifications, and mentorship programs
• Collaborative and innovative work environment that encourages creative problem-solving and cross-team collaboration
• Opportunity to work on cutting-edge AI projects that shape the future of finance
• Flexible work arrangements to support employees' personal and professional well-being

Equal Opportunity

J.P. Morgan is an equal opportunity employer committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other protected characteristic under applicable law. We believe that diversity and inclusion are vital to our success and are dedicated to fostering a workplace where everyone feels valued and empowered. Reasonable accommodations are available for qualified applicants with disabilities or religious practices. We invite all qualified individuals to apply and join our team in building a better future through responsible and innovative financial services.