State Street

State Street

AI Orchestration Engineer

Quincy, Massachusetts, USA

Sponsorship not specified$120k-$203kDetected 2 days ago
PythonSQLSnowflakeDatabricksVector DatabasesKafkaMachine LearningSparkData EngineeringLLMsRAGAgentic AILLMOpsMLOpsLangGraphAI OrchestrationAccessibilityCommunicationCollaboration

About the role

  • This role is responsible for designing, engineering, and operationalizing scalable AI orchestration frameworks that transform enterprise data into intelligent, auditable, and secure business outcomes.
  • This role requires strong capabilities in both AI Engineering and Data Engineering.
  • If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Responsibilities

  • Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Artificial Intelligence, or equivalent practical experience.
  • Experience with Python, SQL, APIs, workflow automation, and cloud-native architectures.

Nice to have

  • LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
  • Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.
  • Experience with vector databases, semantic search, and enterprise RAG platforms.
  • Experience implementing MLOps, LLMOps, AI observability, and evaluation frameworks.
  • Knowledge of Responsible AI, data governance, and model risk management.
  • Success Measures
  • Accelerate delivery of AI-enabled business capabilities through reusable orchestration frameworks.
  • Increase adoption of governed enterprise AI services.

Compensation

  • $120,000 - $202,500 Annual

Benefits

  • State Street's comprehensive benefits program, which includes:

Company info

  • Looking For
  • The State Street Global Cybersecurity (GCS) organization is seeking an AI Orchestration Engineer to help build the next generation of enterprise AI capabilities across Cybersecurity functions.
  • As part of the GCS team, you will operate at the intersection of Artificial Intelligence, Agentic Systems, Data Engineering, and Enterprise Governance. This role is responsible for designing, engineering, and operationalizing scalable AI orchestration frameworks that transform enterprise data into intelligent, auditable, and secure business outcomes.
  • This role requires strong capabilities in both AI Engineering and Data Engineering. You will design data products, orchestrate multi-agent workflows, develop Retrieval-Augmented Generation (RAG) systems, integrate enterprise knowledge sources, and establish the governance and observability capabilities required to operate AI safely within a highly regulated financial services environment.
  • As part of the GCS team, you will operate at the intersection of Artificial Intelligence, Agentic Systems, Data Engineering, and Enterprise Governance.
  • You will design data products, orchestrate multi-agent workflows, develop Retrieval-Augmented Generation (RAG) systems, integrate enterprise knowledge sources, and establish the governance and observability capabilities required to operate AI safely within a highly regulated financial services environment.
  • Why This Role Is Important To Us
  • State Street is accelerating the adoption of AI-enabled capabilities to improve operational efficiency, enhance cybersecurity resilience, strengthen risk management, and deliver intelligent experiences across the enterprise.
  • As an AI Orchestration Engineer, you will help establish the AI execution layer that enables secure collaboration between enterprise data platforms, large language models, internal knowledge repositories, agentic workflows, governance controls, and human decision makers.
  • What You Will Be Responsible For
  • Design and engineer AI orchestration frameworks that coordinate multiple models, agents, tools, APIs, and enterprise applications.
  • Develop agent-to-agent and human-in-the-loop workflows that automate complex operational and analytical processes.
  • Build reusable orchestration patterns that enable rapid deployment of AI-enabled business capabilities.
  • Design and develop scalable data pipelines supporting AI, analytics, and agentic workflows.
  • Build enterprise data products optimized for AI consumption.
  • Design and implement enterprise RAG architectures.
  • Develop reusable AI platform components supporting multiple use cases and business domains.
  • Implement MLOps and LLMOps deployment, monitoring, versioning, and governance capabilities.
  • Implement Responsible AI guardrails, governance controls, and model risk management processes.
  • Build AI observability, evaluation, telemetry, and performance measurement solutions.
  • Education & Qualifications

Visa & Work Authorization

  • gin, 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 a
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This listing is sourced directly from State Street's careers page and normalized into a canonical job model.