Senior AI Security Automation Engineer
State Street1 day ago
Base Salary
$120k - $203k/yr
Responsibilities
- Architect and deliver scalable, reliable agentic AI platforms for security workflows.
- Build production-grade AI systems involving agents, skills, memory patterns, guardrails, and tool-use orchestration.
- Develop retrieval and context-engineering capabilities 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 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 AI evaluation, regression testing, monitoring, and observability frameworks.
- Define engineering standards for reliability, security, and safe AI operations.
- Mentor junior engineers and provide technical leadership through code reviews, architecture forums, and cross-team collaboration.
- Use enterprise-authorized AI coding and automation tools while validating outputs through peer review, automated testing, and secure coding practices.
- Lead complex technical initiatives while remaining deeply hands-on.
Requirements
- 7+ years of professional software engineering experience.
- 3+ years of experience developing AI, machine learning, or generative AI solutions.
- Bachelor’s or master’s degree in computer science, software engineering, artificial intelligence, data science, cybersecurity, or a related discipline.
- Demonstrated experience architecting, developing, and deploying production-grade generative AI and LLM-based solutions, including agentic workflows and enterprise tool integrations.
- Strong software engineering experience designing cloud-native applications and services with containers, serverless architectures, and public cloud platforms.
- Experience building scalable distributed systems using asynchronous processing, event-driven architectures, durable messaging, and high-performance data access patterns.
- Hands-on experience with RAG, embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt lifecycle management.
- Experience implementing AI evaluation, testing, monitoring, and observability frameworks.
- Strong API design and integration experience for secure, reusable, scalable platform services.
- Technical leadership experience, including mentoring engineers, driving architecture, influencing strategy, and working across distributed teams.
- Experience using enterprise-approved AI-assisted software development tools with secure coding, peer review, and automated testing.
- Understanding of responsible AI, data privacy, security, governance, resiliency, and model risk management.
- Understanding of cybersecurity data sources and cybersecurity operations including threat detection, incident response, threat hunting, security analytics, and security automation.
- Experience with SIEM platforms and cybersecurity analytics solutions.
- Deep understanding and production experience implementing CI/CD pipelines and deployment automation.
- Strong programming and automation skills in Python, JavaScript/TypeScript, Rust, Go, Bash, and PowerShell.
- Experience developing cybersecurity, analytics, or operational intelligence solutions.
- Experience with LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or similar frameworks.
- Experience with Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow.
- Experience with vector databases, semantic search, enterprise RAG platforms, MLOps, LLMOps, AI observability, and evaluation frameworks.
- Knowledge of responsible AI, data governance, and model risk management.
Benefits
- Hybrid work arrangement requiring 2–4 days per week in the office.
- Work shift is 8 AM–5 PM local time with occasional Level 2–3 escalation support for operational incidents.
- 401(k) retirement savings plan with company match.
- Basic life, medical, dental, vision, long-term disability, and optional insurance coverage.
- Paid vacation, sick leave, short-term disability, and family-care leave.
- Employee Assistance Program.
- Eligibility for annual performance-based incentive compensation and certain tax-advantaged savings plans.
- 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
State Street is a global custodian bank and asset manager serving institutional investors with investment servicing, fund accounting, trading/FX, data, and index/active strategies. Its products include State Street Global Advisors’ funds and ETFs, the Charles River Investment Management Solution, and the front-to-back State Street Alpha platform. Founded in 1792 and headquartered in Boston, the company is publicly traded on the NYSE (ticker: STT) and operates across major markets worldwide.