Levi Strauss

1 week ago

Principal Security Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Architect and engineer an AI-powered, agentic security platform within Global Information Security. Translate architectural vision into production-grade systems, including a multi-agent orchestration layer, an AI Gateway enforcing LLM/agent traffic, agent identity and registry to prevent orphaned agents, and audit/observability for agent workloads. Partner across Platform Engineering, Infrastructure, and Security to define governance, guardrails, and security data protection standards at global scale.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Support the enterprise agentic AI platform by defining and governing how agents are built, deployed, and governed across cloud providers and model/builder teams.
•Architect and engineer a production-grade multi-agent AI platform to orchestrate specialized security agents across the organization.
•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 environment.
•Establish audit and observability architecture for agent workloads, define guardrails and data protection standards, and set engineering standards and governance operating models.

Pay and Benefits

Salary: USD 135,200 - 198,300 annually

Perks:Health Insurance401kPaid Leave

Key Requirements

•10+ years of professional software engineering experience with expert proficiency in Python, designing and delivering distributed cloud-native systems at scale.
•Hands-on experience building and shipping agentic AI applications beyond proof-of-concept.
•Experience with AI orchestration frameworks (Semantic Kernel, LangChain, ADK) and RAG pipeline design, including embedding strategies, hybrid search, and LLM evaluation.
•Solid grasp of security operations including threat intelligence workflows, detection engineering, SIEM query languages (KQL, SPL, YARA-L), MITRE ATT&CK, vulnerability management, and API integrations with security platforms.
•Experience using infrastructure-as-code and CI/CD in regulated or high-assurance environments, including cloud security best practices like managed identity, Key Vault, and least-privilege design.

Experience:Cloud-nativeAICybersecuritySecurity operations

Skills:ArchitectureLeadershipTechnical communicationDesign reviewTechnical alignment

Tech Stack:PythonSemantic KernelLangChainADKRAGLLMHybrid searchEmbedding strategiesKQLSPLYARA-LMITRE ATT&CKAPI integrationInfrastructure-as-codeCI/CDManaged identityKey VaultLeast-privilegeSIEMAgentic AI

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn

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Levi Strauss

1 week ago

Principal Security Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Support the enterprise agentic AI platform by defining and governing how agents are built, deployed, and governed across cloud providers and model/builder teams.
•Architect and engineer a production-grade multi-agent AI platform to orchestrate specialized security agents across the organization.
•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 environment.
•Establish audit and observability architecture for agent workloads, define guardrails and data protection standards, and set engineering standards and governance operating models.

Pay and Benefits

Salary: USD 135,200 - 198,300 annually

Perks:Health Insurance401kPaid Leave

Key Requirements

•10+ years of professional software engineering experience with expert proficiency in Python, designing and delivering distributed cloud-native systems at scale.
•Hands-on experience building and shipping agentic AI applications beyond proof-of-concept.
•Experience with AI orchestration frameworks (Semantic Kernel, LangChain, ADK) and RAG pipeline design, including embedding strategies, hybrid search, and LLM evaluation.
•Solid grasp of security operations including threat intelligence workflows, detection engineering, SIEM query languages (KQL, SPL, YARA-L), MITRE ATT&CK, vulnerability management, and API integrations with security platforms.
•Experience using infrastructure-as-code and CI/CD in regulated or high-assurance environments, including cloud security best practices like managed identity, Key Vault, and least-privilege design.

Experience:Cloud-nativeAICybersecuritySecurity operations

Skills:ArchitectureLeadershipTechnical communicationDesign reviewTechnical alignment

Company Brief

Levi Strauss

Designs, markets, and sells denim and casual apparel under the Levi's, Dockers, and related brands. The company operates globally through wholesale, retail, and direct-to-consumer channels.

Industry: Fashion & Apparel

Company Size: Enterprise (1,001+ employees)

Revenue: USD 5M to 10M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1853

Website LinkedIn