AI - Process Engineering - Sr Advisor I
Core
Design and scale AI-driven cybersecurity platforms to strengthen enterprise defense capabilities, focusing on threat detection, security operations automation, and cyber resilience.
Role type
Senior IC machine-learning engineer (cybersecurity)
Builds
Production-grade AI security platforms on Google Cloud
Domain
Fintech / Cybersecurity / Generative AI
Deliverable
production ML models
Required skills
Python, Google Cloud Platform (GCP), Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Kubernetes, Docker, CI/CD, MLOps, AIOps, Infrastructure as Code, Cybersecurity Engineering, Identity and Access Management (IAM), Privileged Access Management (PAM), Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), Zero Trust architecture
Preferred skills
AI agents and autonomous security systems design, Financial services industry experience, Google Cloud Professional certifications
Technologies
Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, Google Kubernetes Engine (GKE), Vector databases, RAG systems
Responsibilities
Design and deploy AI-powered capabilities for threat detection and anomaly identification; Architect multi-agent AI frameworks integrating LLMs and embeddings; Lead engineering of scalable cloud-native AI security platforms; Integrate AI with IAM, PAM, SIEM, and SOAR platforms; Establish engineering standards for model training, deployment, and monitoring; Embed security, privacy, and responsible AI practices into platform design; Partner with cross-functional teams to translate requirements into scalable AI solutions
Seniority
Senior, hands-on IC