onsite
Principal Agentic AI Engineering Lead - State Street
Software Engineer
Lead the design and delivery of a scalable Agentic AI and modern workflow platform, driving architecture, infrastructure, and best practices across the enterprise using Python, Node.js, AWS, and Kubernetes.
About the role
Key Responsibilities
- Architect and lead the end‑to‑end development of an Agentic AI platform, including workflow orchestration, agent lifecycle management, and multi‑runtime deployment.
- Drive hands‑on engineering, ensuring production‑grade observability, SRE practices, and secure, scalable infrastructure on AWS and Kubernetes.
- Collaborate with cross‑functional teams to embed AI best practices, streamline workflows, and consolidate disparate systems.
- Mentor and grow a high‑performing engineering team, setting technical standards and fostering continuous improvement.
- Own the CI/CD pipeline, release management, and automated testing strategy to accelerate delivery while maintaining reliability.
Requirements
- 10+ years of software engineering experience with a strong background in AI/ML and workflow systems.
- Proven expertise in Python, Node.js, AWS, Kubernetes, and modern CI/CD tooling.
- Deep knowledge of observability, SRE principles, and secure, scalable cloud architecture.
- Excellent communication skills and a track record of leading technical teams to deliver complex, enterprise‑grade solutions.
Skills
pythonnodejsawskubernetescicd