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About the Role

State Street's Cyber Data & Analytics (CyberDNA) team is seeking an AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered platforms. This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions.

Responsibilities

Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
Build retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores.
Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes.
Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior.
Follow defined engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.

Requirements

Experience developing and deploying production-grade Generative AI and Large Language Model (LLM) based solutions.
Strong software engineering fundamentals with expertise in designing and delivering cloud-native applications and services.
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions.
Hands-on experience utilizing enterprise-approved AI-assisted software development tools.
Ability to collaborate and work with geographically distributed team members.
Strong software development and automation skills.

Skills

Python
JavaScript/TypeScript
Rust
Go (Golang)
Bash
PowerShell
LangGraph
Semantic Kernel
CrewAI
AutoGen
LangChain
Spark
Kafka
Delta Lake
Iceberg
Airflow
Vector databases
Semantic search
Enterprise RAG platforms

Location

Local time

Work Type

Hybrid
2-4 days per week in-office

Experience Level

1-2+ years of professional software engineering experience
1+ years of experience developing AI, Machine Learning, or Generative AI solutions

Education Level

Master’s or bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline

Salary/Compensations

$70,000 - $118,750 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 our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans

About the Company

Institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
Benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks.

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.