AI Tech Lead - Staff Machine Learning Engineer
Core
Lead design and delivery of next-generation Agentic AI systems for a Security Operations Center (SOC) to enable real-time detection, investigation, and response over massive machine data streams.
Role type
Staff Machine Learning Engineer (AI Tech Lead)
Builds
Scalable multi-agent architectures and production AI infrastructure for security and observability use cases.
Domain
Cybersecurity / Observability / Large-scale Log Data
Deliverable
production ML models
Required skills
Machine learning, distributed systems, LLMs, prompt engineering, context engineering, agentic AI design patterns, Python, ML/AI evaluation frameworks, technical leadership
Preferred skills
Agentic AI systems, LangGraph, LangChain, Anthropic, OpenAI, AWS Bedrock, LLM fine-tuning, LLMOps, PyTorch, MLflow, Airflow, Docker, Kubernetes, cloud platforms
Technologies
LangChain, LangGraph, CrewAI, Anthropic, OpenAI, AWS Bedrock, Vertex AI, PyTorch, MLflow, Airflow, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Lead technical evaluation and adoption of cutting-edge agentic AI platforms; Architect and productionize multi-agent AI systems; Own design of core agent architecture components; Lead AI agent evaluation systems; Drive LLM fine-tuning and alignment; Design scalable LLMOps and AI agent infrastructure; Partner with leadership to deliver end-to-end AI agent capabilities; Mentor AI engineers; Define best practices for AI safety and reliability.
Seniority
Staff, hands-on IC with technical leadership