Principal Architect: Transformative AI

JPMorgan Chase & Co.•Jersey City, NJ

8h•$204,250 - $285,000

About The Position

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.

Requirements

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

Nice To Haves

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

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