State StreetAgentic AI Engineer -Assistant Manager
AI in this role
Senior Associate - Agentic AI Engineer
About the Role
We are looking for motivated and analytical early-career professionals to join our GenAI Center of Excellence at State Street as Agentic AI Engineers. This role is ideal for individuals passionate about building agentic AI systems and workflows. You will work closely with Senior AI Engineers to develop, integrate, and support multi-agent workflows and event-driven architectures, contributing directly to the evolution of our agentic AI platform.
Key Responsibilities
- Collaborate with senior engineers to design and build agent workflows and platform components.
- Developed basic agent workflows utilizing at least one agent framework (such as LangChain, Langraph, GoogleADK).
- Assist in building event-driven processes for scalable agentic AI systems.
- Exposure to the agentic stack leveraging managed services and orchestration tools on AWS, Google Cloud, and Azure.
- Write, execute, and maintain unit and integration tests for code quality and reliability.
- Support deployment, monitoring, and troubleshooting of agentic services in cloud (AWS, GCP, Azure) and/or on-prem environments.
- Participate in code reviews, sprint planning, and other team ceremonies to foster knowledge sharing and continuous improvement.
- Contribute to technical documentation and knowledge sharing within the pod.
- Stay current with new technologies and methods in AI and distributed systems.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 0–7 years of overall experience in software engineering, with 2+ years of exposure in developing AI/ML, distributed systems, or agent-based architectures.
- Proficient in Python and familiar with at least one additional modern programming language (such as Java, Go, or C++).
- Familiarity with event-driven architectures, REST/gRPC APIs, and microservices.
- Experience developing, testing, and troubleshooting applications in cloud environments (AWS, Google Cloud, or Azure).
- Understanding of basic DevOps practices, CI/CD, and containerization (Docker/Kubernetes).
- Strong problem-solving and communication skills; collaborative team player.
- Eagerness to learn and stay current with emerging technologies in AI and cloud platforms.
- Coursework or projects involving multi-agent systems.
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
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How we rate this
Agentic AI Engineer -Assistant Manager at State Street rates 90 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.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: LangChain and LangGraph. 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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