Senior AI Security Automation Engineer, Vice President
State Street1 day ago
Kilkenny, IrelandStaff+
Responsibilities
- Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows.
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
- Architect retrieval and context-engineering approaches using embeddings, semantic search, grounding, summarization, and prompt management.
- Engineer cloud-native AI services across AWS, Azure, and GCP using containers, serverless patterns, event-driven messaging, and distributed data stores.
- Optimize platform latency, throughput, scalability, caching, context efficiency, and cost controls.
- Build governed APIs and integrations connecting AI capabilities with security platforms, tools, and business processes.
- Establish evaluation, research, regression testing, monitoring, and observability frameworks for agent behavior and model quality.
- Define engineering standards for reliability, security, governance, and safe AI operation.
- Mentor junior engineers and influence technical direction through code reviews, architecture forums, and cross-team leadership.
- Use enterprise-authorized AI coding and automation tools while validating outputs through peer review, automated testing, and secure coding practices.
- Support occasional Level 2–3 escalation resolution for operational incidents.
Requirements
- Master’s or bachelor’s degree in computer science, software engineering, artificial intelligence, data science, cybersecurity, or a related discipline.
- At least 7 years of professional software engineering experience.
- At least 3 years of experience developing AI, machine learning, or Generative AI solutions.
- Demonstrated experience architecting, developing, and deploying production-grade Generative AI and LLM-based solutions, including agentic workflows and enterprise tool integrations.
- Strong software engineering fundamentals and experience delivering cloud-native applications, scalable distributed systems, asynchronous processing, event-driven architectures, durable messaging, and high-performance data access.
- Hands-on experience building RAG solutions involving embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management.
- Experience implementing AI evaluation, testing, monitoring, observability, MLOps, LLMOps, and evaluation frameworks.
- Strong API design and integration experience for secure, reusable, and scalable enterprise platform services.
- Experience with cybersecurity data sources, SIEM platforms, threat detection, incident response, threat hunting, security analytics, and security automation.
- Deep understanding of CI/CD tools and production experience designing and implementing reliable CI/CD pipelines.
- Strong development and automation skills in Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, and PowerShell.
- Experience with LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
- Experience with Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow, vector databases, semantic search, and enterprise RAG platforms.
- Knowledge of responsible AI, data governance, model risk management, privacy, security, resiliency, and risk management.
- Demonstrated technical leadership, mentoring, architectural decision-making, cross-functional collaboration, and the ability to lead complex initiatives while remaining hands-on.
- Experience developing cybersecurity, analytics, or operational intelligence solutions.
- Ability to lead and influence geographically distributed teams through virtual collaboration.
- Ability to work 8 AM–5 PM local time with occasional operational incident escalations.
Benefits
- Hybrid work arrangement requiring in-office presence 2–4 days per week.
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
Tech Stack
Apache AirflowApache KafkaApache SparkArgo CDAWSAzureBashDatabricksGoGoogle Cloud PlatformHarnessJavaScriptJenkinsPowerShellPythonRustSnowflakeSpinnakerTypeScript
Categories
About State Street
At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities: Investment Services: Integrated front-to-back solutions across custody, accounting, and operations. Investment Management: Index and active strategies from one of the world’s largest asset managers. Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value. Who We Are • 50,000+ employees worldwide • Active in 100+ markets • #1 in ETF servicing What You’ll Find Here • Executive perspectives and thought leadership • Timely market commentary and macro insights • Our views on investment operations, ETFs, private markets, and digital finance • Stories reflecting our culture, values and commitment to diversity and inclusion