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State Street

Agentic AI Engineer - Manager

State Street is hiring an Agentic AI Engineer - Manager in Hyderabad, India. Level rates it ; you can apply on State Street.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include LangChain, LangGraph and Google Adk.
  • Level classifies it as a lead role.
  • Level lists 1,000+ other open roles at State Street.
  • The role was posted in the last few days.

AI in this role

Design, implement, and optimize agent orchestration and multi-agent workflows within the GenAI Center of Excellence.

langchainlanggraphgoogle-adkpythonawskubernetes
agentic-aimulti-agent-workflowsevent-driven-architecturecloud-nativeruntime-engineering

Officer – Agentic AI Engineer

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.


Discover more information on jobs at StateStreet.com/careers


Read our CEO Statement

How we rate this

Agentic AI Engineer - Manager at State Street rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Agentic AIMulti Agent WorkflowsEvent Driven ArchitectureCloud NativeRuntime EngineeringLangChainLangGraphGoogle Adk

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. Tell me about a project where agentic ai was part of your work. What did you do?
  2. Tell me about a project where multi agent workflows was part of your work. What did you do?
  3. Tell me about a project where event driven architecture was part of your work. What did you do?
  4. Tell me about a project where cloud native was part of your work. What did you do?
  5. Tell me about a project where runtime engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Agentic AI, Multi Agent Workflows, Event Driven Architecture, Cloud Native, and Runtime Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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