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Lead AI Security Automation Engineer

Quincy, Massachusetts, US💼 Full-time🗓 2026-07-21 → 2026-09-26

Core

Lead the development of foundational AI platforms, autonomous agents, and security automation solutions to enable intelligent, scalable cybersecurity operations at enterprise scale.

Role type

Lead AI Security Automation Engineer (Hands-on IC with team leadership)

Builds

Production-grade agentic AI platforms, autonomous agents, security automation workflows, and data-driven applications for cybersecurity functions.

Domain

Cybersecurity, Artificial Intelligence, Generative AI, Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Generative AI and LLM solution architecture, agentic workflows and intelligent agents, Retrieval-Augmented Generation (RAG) and context engineering, cloud-native distributed systems design, AI evaluation and observability frameworks, API design and integration, technical leadership and team mentoring, CI/CD pipeline implementation, multi-language software development (Python, JavaScript/TypeScript, Rust, Go, Bash, PowerShell), vector databases and semantic search, MLOps and LLMOps practices.

Preferred skills

Experience with LangGraph, Semantic Kernel, CrewAI, AutoGen, or LangChain frameworks; expertise with Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, and Airflow; knowledge of Responsible AI principles and model risk management.

Technologies

AWS, Azure, GCP, Kubernetes, Docker, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow, Jenkins, Harness, Spinnaker, Argo CD, Python, JavaScript/TypeScript, Rust, Go, Bash, PowerShell.

Responsibilities

Build and mentor a high-performing team of AI Automation Engineers; lead architecture and hands-on delivery of scalable agentic AI platforms; design production-grade AI systems including agents, skills, memory patterns, and guardrails; architect retrieval and context-engineering approaches; engineer cloud-native AI solutions using containers and serverless patterns; optimize platform performance for latency, throughput, and cost; build well-governed APIs connecting AI capabilities to security platforms; establish evaluation, testing, and observability frameworks; define engineering standards for reliability and safe AI operation.

Seniority

Senior, hands-on IC with team leadership

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