AI Orchestration Engineer

Overview

State Street Global Cybersecurity (GCS) is seeking an AI Orchestration Engineer to help build the next generation of enterprise AI capabilities across Cybersecurity functions. You will operate at the intersection of Artificial Intelligence, Agentic Systems, Data Engineering, and Enterprise Governance. This role designs, engineers, and operationalizes scalable AI orchestration frameworks that transform enterprise data into intelligent, auditable, and secure business outcomes.

It 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 governance and observability capabilities required to operate AI safely within a highly regulated financial services environment.

• 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.

• Minimum Qualifications:
  
  Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Artificial Intelligence, or equivalent practical experience; 3–5 years of experience in Data Engineering, AI Engineering, Machine Learning Engineering, Software Engineering, or related disciplines; strong experience developing large-scale data pipelines and distributed data-processing solutions; experience with Python, SQL, APIs, workflow automation, and cloud-native architectures; strong communication and stakeholder collaboration skills.
• Preferred Qualifications:
  
  Lang Graph, Semantic Kernel, CrewAI, Auto Gen, Lang Chain, 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.

• Accelerate delivery of AI-enabled business capabilities through reusable orchestration frameworks.
• Increase adoption of governed enterprise AI services.
• Improve enterprise data accessibility for AI use cases.
• Enhance reliability, observability, and auditability of AI systems.
• Reduce operational complexity through agentic automation and intelligent workflows.

• Salary Range: $90,000 - $157,500 Annual. The range applies to the primary location; ranges may differ if working outside the primary location.
• Comprehensive benefits program including retirement savings plan (401K) with company match; medical, dental, vision, life insurance, long-term disability; paid time off;
  Employee Assistance Program; incentive compensation; eligibility for certain tax-advantaged savings plans.

State Street is 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.