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About the Role

State Street Global Cybersecurity (GCS) is seeking an AI Orchestration Engineer to build next-generation enterprise AI capabilities for Cybersecurity functions. This role operates at the intersection of AI, Agentic Systems, Data Engineering, and Enterprise Governance, focusing on designing, engineering, and operationalizing scalable AI orchestration frameworks to transform enterprise data into intelligent, auditable, and secure business outcomes.

Responsibilities

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.

Requirements

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.

Skills

AI Orchestration
Agentic AI
Enterprise AI Platforms
Data Engineering
RAG Architecture
Vector Databases
Prompt Engineering
MLOps / LLMOps
AI Observability
Responsible AI
Model Governance
Human-in-the-Loop AI Systems
Python
SQL development
LangGraph
Semantic Kernel
CrewAI
AutoGen
LangChain
Databricks
Snowflake
Spark
Kafka
Delta Lake
Iceberg
Airflow
Vector databases
Semantic search
Enterprise RAG platforms
MLOps
LLMOps
AI observability
Evaluation frameworks
Responsible AI
Data governance
Model risk management

Location

Primary location specified

Work Type

Full-time

Experience Level

3-5 years

Education Level

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Artificial Intelligence, or equivalent practical experience.

Salary/Compensations

$120,000 - $202,500 Annual

Benefits

Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans

About the Company

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.
Join us in shaping the future.

Equal Opportunity

As 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.