Agentic AI Engineer - Assistant Vice President

Overview

Lead the definition and implementation of multi-agent workflow patterns and runtime/SRE/DevOps standards for State Street's agentic AI platform, as an AVP-level Agentic AI Engineer in the GenAI Center of Excellence.

What you'll do

• Lead the architecture and optimization of advanced multi-agent workflows across platforms, standardizing the use of agent frameworks like LangChain, Langraph, and GoogleADK to ensure scalability and reliability.
• Set and enforce runtime, SRE/DevOps, and reliability standards for agentic systems deployed on AWS, Google Cloud, and Azure.
• Define A2A protocol and connector sandbox isolation standards across pods.
• Collaborate with architects and product owners to translate platform roadmaps into runtime capabilities, optimizing for multi-cloud agentic stack deployments.
• Lead technical hiring, coaching, and development of Officers and Senior Associates.
• Direct incident response and post-incident reviews for critical runtime issues across cloud platforms.
• Oversee documentation, compliance, and performance reviews for enterprise agentic systems.
• Drive adoption of emerging technologies and innovative practices in AI system engineering, including leveraging advanced cloud-native services.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8–14 years of progressive experience in software engineering, with a focus on agentic AI, distributed systems, or orchestration platforms.
• Proficient in Python and familiar with at least one additional modern programming language (such as Java, Go, or C++).
• Demonstrated leadership in architecting and implementing complex agentic or event-driven systems across cloud platforms (AWS, Google Cloud, Azure).
• Deep expertise in A2A protocols, runtime environments, and cloud-native DevOps practices.
• Experience establishing technical standards, overseeing compliance, and driving adoption of emerging technologies.
• Proven track record in technical mentorship, incident response leadership, and cross-functional collaboration.
• Familiarity with enterprise security, IAM/RBAC, and sandboxing in cloud environments.

Details

• Location: Bangalore, India.
• Work mode: On-premise.