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
• 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
• 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