Senior AI Architect and Integrations Engineer
Core
Architect, evaluate, and operationalize private local models and cloud-hosted LLMs for enterprise cybersecurity operations, focusing on secure network enclaves, agentic workflows, and AI governance.
Role type
Senior IC AI Architect and Integrations Engineer (Cybersecurity)
Builds
Tool-integrated, agentic LLM workflows, orchestration pipelines, and secure service interfaces connecting models with cybersecurity platforms.
Domain
Cybersecurity + Large Language Models (LLMs)
Deliverable
production ML models
Required skills
LLM orchestration (LangChain, LlamaIndex), local model inference (Ollama, vLLM, llama.cpp), RAG systems, Python, SQL, PyTorch, TensorFlow, Hugging Face, Docker, Kubernetes, Terraform, REST APIs, JSON Schema, OpenAPI, AI governance frameworks (NIST AI RMF, CMMC)
Preferred skills
Cyber threat intelligence, detection engineering, threat hunting, canonical data modeling, high-volume analytical databases
Technologies
LangChain, LlamaIndex, Ollama, vLLM, llama.cpp, PyTorch, TensorFlow, Hugging Face, Docker, Kubernetes, Terraform, PyTorch, TensorFlow, Hugging Face, SQL, REST, JSON Schema, OpenAPI
Responsibilities
Lead, mentor, and manage AI engineering staff; Architect and deploy private local models and cloud-hosted LLMs in secure enclaves; Build agentic LLM workflows to automate analyst investigations; Establish AI governance including model validation and bias mitigation; Oversee end-to-end AI/ML pipelines from ingestion to monitoring; Design secure service interfaces and integration contracts; Guide development of advanced detection capabilities and RAG systems; Define benchmarks and operational metrics for model evaluation.
Seniority
Senior, hands-on IC with leadership responsibilities
