Qualifications

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in developing and deploying agentic AI applications in production environments.
• Strong proficiency with machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Expertise in Python programming, including writing comprehensive tests and developing evaluation tools for AI agents and prompts.
• Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, or LangGraph.
• Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.
• Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.
• Familiarity with cloud computing platforms and containerization technologies.
• Strong problem-solving skills with the ability to work independently and collaboratively within a team environment.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Responsibilities

• Architect, develop, and operationalize autonomous and assistive AI agents to improve business processes and operational efficiency.
• Design and implement multi-agent systems, including role definition, tool integration, planning, memory management, and workflow orchestration 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 robustness through output parsing and error handling.
• Practice 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; instrument agents for tracing, metrics collection, and feedback loops.
• Partner with stakeholders to gather requirements, design intuitive human-AI interfaces, and deliver solutions that generate measurable business value.
• Analyze data to enhance agent capabilities, optimize retrieval processes, and support data-driven decision-making through A/B testing and performance evaluations.
• Mentor and guide team members on best practices related to agent frameworks, large language models, safety protocols, and operational excellence.

Benefits

Joining J.P. Morgan as an AI Engineer offers a competitive salary and comprehensive benefits package that supports your well-being and professional development. You will have access to ongoing training opportunities, mentorship programs, and a collaborative work environment that encourages innovation and knowledge sharing. The company promotes a healthy work-life balance and provides various wellness programs to support your personal and professional growth. Additionally, you will be part of a global organization that values diversity, inclusion, and the contributions of every individual, fostering a culture of respect and continuous learning.

Equal Opportunity

J.P. Morgan is committed to fostering an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and 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 attribute under applicable law. We believe that diversity enhances our ability to innovate and serve our clients effectively. Reasonable accommodations are provided for applicants and employees with disabilities or religious practices. We invite individuals from all backgrounds to apply and join our team in shaping the future of finance and technology.