Agentic AI Engineer - Assistant Vice President

State Street; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Flexible work-life support

Volunteer days

Vibrant employee networks

Job summary

State Street in Bengaluru, India is seeking an experienced Agentic AI Engineer to design, implement, and optimize agent orchestration and multi-agent workflows. You will mentor junior engineers and collaborate with cross-functional teams to accelerate innovation.

The role focuses on building scalable agentic platforms, leveraging LangChain/LangGraph, and deploying across AWS, Google Cloud, and Azure in a hybrid/multi-cloud setup.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5–10 years of hands-on experience in designing, building, and deploying distributed or agentic systems.
• Proficient in Python and at least one other modern language (such as Java, Go, or C++).
• Experience implementing event-driven, microservices, or multi-agent architectures at scale.
• Solid cloud-native development and operations on AWS, Google Cloud, and/or Azure.
• Strong background in software testing, code reviews, and Agile development.
• Experience with CI/CD pipelines, Kubernetes, and monitoring solutions.
• Ability to mentor junior engineers and contribute to technical documentation.
• Excellent communication and cross-team collaboration skills.

Responsibilities

• Independently designed and implemented complex agent workflows with multiple frameworks.
• Lead event-driven architecture development and enhancements for assigned domains.
• Ensure code quality through advanced testing, code reviews, and mentoring junior engineers.
• Operate and troubleshoot runtime components, maintaining high availability and reliability.
• Drive improvements in deployment, monitoring, and incident response across hybrid/multi-cloud environments.
• Guide adoption of agentic stack components and cloud-native best practices.
• Contribute to platform documentation and establish best practices.
• Mentor Senior Associates and foster knowledge sharing within the pod.
• Collaborate cross-functionally with other engineering, SRE, and product teams.

Skills

Python

Java

Go

C++

Event-driven architecture

Cloud-native development

CI/CD

Kubernetes

Team mentoring

Cross-functional collaboration

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

LangChain

LangGraph

GoogleADK

Kubernetes

AWS

Google Cloud

Azure

CI/CD pipelines

Job description

About The Role

We are seeking driven and technically adept professionals to join our GenAI Center of Excellence at State Street as Agentic AI Engineers. This position is perfect for mid-career engineers who want to independently design, implement, and optimize agent orchestration and multi-agent workflows. You will play a key role in advancing our agentic AI platform, collaborating with cross-functional teams and mentoring junior engineers to accelerate innovation.

Key Responsibilities

• Independently designed and implemented complex agent workflows, integrating multiple frameworks such as LangChain, Langraph, or GoogleADK to address specific domain requirements.
• Lead event-driven architecture development and enhancements for assigned domains.
• Ensure code quality through advanced testing, code reviews, and mentoring junior engineers.
• Operate and troubleshoot runtime components, maintaining high availability and reliability.
• Drive improvements in deployment, monitoring, and incident response processes across hybrid and multi-cloud environments (AWS, Google Cloud, Azure).
• Guide adoption of agentic stack components and best practices for cloud-native implementation.
• Contribute to platform documentation and establish best practices.
• Mentor Senior Associates and foster knowledge sharing within the pod.
• Collaborate cross-functionally with other engineering, SRE, and product teams.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5-10 years of hands-on experience in designing, building, and deploying distributed or agentic systems.
• Proficient in Python and familiar with at least one additional modern programming language (such as Java, Go, or C++).
• Experience implementing event-driven, microservices, or multi-agent architectures at scale.
• Solid experience with cloud-native development and operations on AWS, Google Cloud, and/or Azure.
• Strong background in software testing, code reviews, and agile development methodologies.
• Experience with CI/CD pipelines, container orchestration (Kubernetes), and monitoring solutions.
• Ability to mentor junior engineers and contribute to technical documentation.
• Excellent communication and cross-team collaboration skills.

Work Schedule

On-premise

Keywords

Agentic AI, Agent Orchestration, A2A Protocol, Google ADK, LangGraph, Multi-Agent Workflows, Event-Driven Architecture, Cloud SRE, Runtime Engineering

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job ID: R-795835