Alpha Business Process Automation, Assistant Manager
State Street CorporationMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and metro location increase competition, while specialized agent and graph skills narrow the pool.
Requires enterprise AI, knowledge-graph, and regulated-finance experience, making skills less transferable across industries.
Explicit 7–12 years, mandatory agent/graph expertise, and regulated finance controls enforce strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Design, engineer, deploy, and operate secure, production-grade AI agent capabilities integrating with enterprise APIs, tools, data sources, and workflows.
Build and manage multi-agent orchestration, reusable workflows, evaluation, guardrails, and responsible AI controls for scalable enterprise AI adoption.
Develop complementary knowledge graph and Graph RAG solutions to enhance enterprise grounding, retrieval, reasoning, and ensure governance and auditability.
Minimum Requirements
7 to 12 years total technology experience including software engineering, AI, or enterprise platform development.
3+ years hands-on experience with enterprise data, semantic, graph, knowledge, or AI solutions including Knowledge Graph, Ontology, RAG, Graph RAG, or Agentic AI implementations.
Experience with agent frameworks (Lang Chain, Lang Graph, Llama Index, Semantic Kernel) and AWS Bedrock or equivalent cloud-native AI agent services.
Bachelor's degree in Computer Science, Engineering, AI, Data Science, Information Systems or related discipline.
Ideal Candidate Profile
Experienced in delivering complex AI agent and knowledge graph solutions from design through production in regulated enterprise environments.
Operates with strong ownership on reliable, secure, maintainable AI architectures including human-in-the-loop and governance mechanisms.
Bridges technical engineering with cross-functional teams and senior stakeholders through clear communication on AI, graph, and enterprise architecture concepts.
