Principal DevSecOps Engineer - AI
Core
Architect and implement secure, scalable CI/CD pipelines and platform infrastructure for AI/ML workloads, embedding security controls across the entire AI lifecycle from data ingestion to model deployment.
Role type
Principal DevSecOps Engineer (AI/ML)
Builds
Secure AI platforms, CI/CD pipelines for LLMs and agentic systems, and hardened AI-serving infrastructure.
Domain
Financial services, AI/ML engineering, Cloud Security
Deliverable
production ML models | infrastructure
Required skills
DevSecOps, ML/AI SecOps, supply chain security, Cloud Security (Azure/AWS/GCP), Kubernetes, Service Mesh, Python, Go, Infrastructure-as-Code (Terraform), GitOps
Preferred skills
Provenance/attestation frameworks (SLSA, Sigstore), Cloud security certifications, KMS, secrets-management platforms, hardware-rooted trust technologies
Technologies
Azure, AWS, GCP, Kubernetes, Service Mesh, Terraform, Vault, SLSA, Sigstore
Responsibilities
Architect secure CI/CD pipelines for AI/LLM workloads; Implement AI-specific security measures (data poisoning safeguards, prompt injection mitigation); Harden vector databases and AI-serving infrastructure; Establish secure IaC templates and GitOps workflows; Implement model supply chain security (provenance, attestation); Develop monitoring for AI-specific threats (adversarial examples, model extraction); Champion secure AI frameworks and maintain AI Bill of Materials.
Seniority
Principal, hands-on IC
