Principal Architect: Transformative AI

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Principal Architect at JPMorganChase within Asset and Wealth Management you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. As a Generative AI Executive Director, you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. You will collaborate with cross-functional teams to bridge advanced AI research with robust engineering, ensuring our solutions are reliable, secure, and built for real business impact.

Job Responsibilities:

• Architects scalable APIs and agentic workflows, enabling automation and efficiency across the firm
• Architects and delivers production LLM-based systems for text, image, speech, and video applications
• Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
• Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.
• Collaborates closely with ML Engineering, Product Management, and Cloud Engineering to ensure reliability and security
• Bridges advanced AI research with robust engineering to build innovative, scalable, production-ready solutions
• Drives results with an entrepreneurial mindset in a fast-paced, high-impact environment
• Actively advocates for firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and 7 years applied experience
• Holds a Masters or possesses equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline
• Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
• Experience with Java, Python, Java Spring, ORM frameworks, Agentic AI frameworks (a2a, langGraph), messaging frameworks, unit and automated testing frameworks (BDD, Functional & Performance), and databases
• Demonstrates extensive hands-on experience in software engineering and ML engineering, with a proven track record of shipping production systems
• Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
• Advanced knowledge of software architecture, applications, and technical processes with in-depth expertise in one or more technical disciplines (e.g., cloud, AI, ML, distributed systems)
• Architects and implements high-throughput, low-latency microservices with WebSocket, gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing
• Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred Qualifications, Capabilities, and Skills:

• Knowledge of advanced agentic workflows, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures
• Agent Guardrails and Evaluation frameworks
• Excellent communication and presentation skills