Alpha Business Process Automation, Assistant Manager
State Street CorporationMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location increase applicant density despite specialized agent and graph skill requirements.
Requires specialized agent, knowledge-graph, and enterprise AI experience, making cross-industry transitions more difficult.
Explicit 7–12 year range plus mandatory AI/agent, graph, cloud, and deployment skills enforce high filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, engineer, deploy, and operate secure, production-grade AI agent capabilities and knowledge graph solutions to improve enterprise process automation and reasoning.
Integrate AI agents with enterprise APIs, tools, data sources, and workflow services while managing multi-agent orchestration, evaluation frameworks, guardrails, and responsible AI controls.
Package and deploy AI solutions using cloud-native AWS Bedrock services, containers, serverless patterns, and CI/CD pipelines with governance, security, and production support responsibilities.
Minimum Requirements
7 to 12 years of technology experience including software engineering, AI, data or knowledge engineering.
3+ years hands-on experience with enterprise data, semantic, graph, search, knowledge, or AI solutions including Knowledge Graph/Ontology/RAG/Agentic AI production deployments.
Experience with AI agent frameworks (Lang Chain, Lang Graph, Llama Index, or equivalent) and cloud services like AWS Bedrock.
Bachelor's degree in Computer Science, Engineering, AI, Data Science, Information Systems, or related field.
Ideal Candidate Profile
Experienced in delivering complex AI and knowledge graph solutions in regulated enterprise environments requiring governance, auditability, and risk controls.
Strong engineering focus on scalable, reusable, and secure AI architectures integrating multi-agent frameworks and enterprise ecosystems.
Comfortable collaborating with architects, senior engineers, product owners on technical implementations at scale across global teams.