Agentic AI Engineer - Manager
State Street Corporation (company site, opens in a new tab)5–10 yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 13h ago
Reach people at State Street Corporation
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at State Street Corporation you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, implement, and optimize complex agent orchestration and multi-agent workflows using frameworks like LangChain, Langraph, or GoogleADK.
- Lead event-driven architecture development and ensure high availability, reliability, and code quality through testing and mentoring.
- Drive improvements in deployment, monitoring, incident response, and cloud-native operations across AWS, Google Cloud, and Azure environments.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5–10 years of hands-on experience designing, building, and deploying distributed or agentic systems.
- Proficiency in Python and familiarity with at least one additional programming language such as Java, Go, or C++.
- Experience with cloud-native development (AWS, Google Cloud, Azure), microservices/event-driven architecture, CI/CD, container orchestration (Kubernetes), and software testing.
Ideal Candidate Profile
- Mid-career engineer capable of independently delivering technically complex agent workflows and leading architecture enhancements.
- Experienced mentor able to guide junior engineers and foster knowledge sharing within teams.
- Comfortable operating in cross-functional environments integrating engineering, SRE, and product teams with cloud-native, multi-cloud infrastructure.