Security Principal Engineer

Levi Strauss & Co.•San Francisco, CA

6d•$135,200 - $198,300•Remote

About The Position

Levi Strauss & Co.’s Global Information Security (GIS) organization is building the next generation of AI-powered security capabilities. The Principal Engineer, AI & Security Engineering is the technical cornerstone of that effort. This role translates architectural vision into production-grade systems that protect one of the world’s most iconic brands. This opportunity sits within the GIS, reporting to the Directory of AI & Security Engineering, who reports directly to the CISO. You will architect and build the agentic platform that powers our threat intelligence automation, detection engineering assistance, and security alert triage. This role is operating at the intersection of enterprise software engineering, AI systems design, and cybersecurity at global scale.

Requirements

10+ years of professional software engineering experience with expert proficiency in Python; demonstrated track record designing and delivering complex, distributed, cloud-native systems at scale.
Hands-on experience building and shipping agentic AI applications beyond proof-of-concept
Practical proficiency with AI orchestration frameworks (Semantic Kernel, LangChain, ADK, etc.) and RAG pipeline design, including embedding strategies, hybrid search, and LLM evaluation methodology.
Solid grasp of security operations concepts: threat intelligence workflows, detection engineering and SIEM query languages (KQL, SPL, YARA-L, etc.), MITRE ATT&CK, vulnerability management, and API-based integration with security platforms.
Strong architecture and leadership instincts: you write RFCs, lead design reviews, make well-reasoned build-vs-buy decisions, and can communicate technical complexity to both engineering peers and executive audiences.
Operates effectively as a principal-level individual contributor who is comfortable driving technical alignment without direct organizational authority.
Genuine, demonstrable passion for AI and agentic systems; not just aware of the landscape, but actively experimenting, building, and thinking about what AI can and cannot reliably do today.
Experience with infrastructure-as-code and CI/CD in regulated or high-assurance environments; familiarity with cloud security best practices including managed identity, Key Vault, and least-privilege design.

Responsibilities

Support the enterprise agentic AI platform, defining and governing how every agent at LS&Co. is built, deployed, and governed, regardless of cloud provider, model, or builder team.
Architect and engineer a production-grade multi-agent AI platform to orchestrate specialized security agents across the GIS.
Lead the design and implementation of the AI Gateway as the central enforcement point for all LLM and agent traffic.
Architect the agent identity and registry system to eliminate shadow AI and orphaned agents across the estate.
Establish the audit and observability architecture for agent workloads.
Own cross-platform guardrails and data protection standards.
Build AI-powered enrichment and analysis pipelines integrated with our security stack.
Define engineering standards, design review processes, and architectural patterns for the AI & Security Engineering practice.
Establish organizational accountability structures for platform component ownership, partnering with Platform Engineering, Infrastructure, and Security to define clear ownership boundaries, contribution standards, and governance operating models that scale beyond a single team.