Senior Engineer - Agentic AI - Assistant Manager

Who we are looking for We are looking for a hands-on Senior AI Engineer with strong software engineering experience to build and deploy secure, production-grade AI agents. The ideal candidate has experience with agent frameworks, orchestration, enterprise integrations, evaluation and guardrails, AWS Bedrock or equivalent cloud services, and modern deployment practices. Knowledge of responsible AI and governance is essential; experience with Knowledge Graphs, RAG, or GraphRAG is an advantage. Why this role is important to us This role is central to building secure, scalable, and production-grade AI capabilities that improve how enterprise processes are delivered. By engineering intelligent agents, multi-agent workflows, enterprise integrations, evaluation frameworks, guardrails, and cloud-native deployment patterns, the Senior AI Engineer will help automate complex work, improve operational efficiency, and accelerate reliable AI adoption. The role also strengthens enterprise knowledge and reasoning through complementary knowledge graph capabilities while ensuring solutions meet responsible AI, security, governance, auditability, and production-support requirements. About the team — Alpha Intelligence Alpha Intelligence is State Street’s AI & Automation Center of Excellence for Alpha Implementations — the team rewiring how the industry’s first front-to-back platform gets delivered. We turn the deep expertise locked inside our implementation teams into engineered processes, governed knowledge and intelligent agents that cut manual effort, compress client go-live timelines and make every implementation faster and more predictable than the last. We operate as one global team across the North America, EMEA, and APAC, combining process engineering, automation delivery, AI platform engineering and responsible-AI governance under a single roof. We work on real client implementations, not pilots that sit on a shelf — what we build is adopted, measured and scaled. If you want to shape how AI is applied to one of the most complex delivery landscapes in financial services, this is the team to do it in. What you will be responsible for This role will primarily focus on designing, engineering, deploying, and operating secure, production-grade Agentic AI capabilities, with a complementary focus on knowledge graph and Graph RAG solutions that improve enterprise grounding, retrieval, and reasoning. Design, develop, and integrate AI agents with enterprise APIs, applications, tools, data sources, knowledge repositories, and workflow services. Build reusable agent workflows using Lang Chain, Lang Graph, Llama Index, Semantic Kernel, or equivalent frameworks, applying modular and maintainable engineering patterns. Engineer single-agent and multi-agent orchestration, including planning, routing, memory, state management, tool or function calling, retries, checkpointing, and failure recovery.