1 day ago

Principal, AI Research Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Lead Zscaler’s AI ecosystem strategy for secure enterprise adoption of LLMs. Define integrations with model providers, vector databases, and AI infrastructure partners, and own the “Secure AI” roadmap to prevent data leakage from 3rd-party models. Build and launch APIs, SDKs, and integration patterns for Zero Trust-native applications while partnering cross-functionally to turn technical integrations into high-growth go-to-market motions.

Location: United States, San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Define AI ecosystem strategy, including integrations with frontier model providers, vector database companies, and AI infrastructure leaders.
•Own the “Secure AI” roadmap across the lifecycle of features enabling safe use of 3rd-party LLMs and preventing data leakage.
•Build a developer ecosystem by defining and launching APIs, SDKs, and integration patterns for Zero Trust-native applications.
•Drive market leadership and cross-functional partnerships to turn complex technical integrations into high-growth go-to-market motions.

Pay and Benefits

Salary: USD 171,500 - 245,000 annually

Perks:Health InsurancePaid LeaveParental LeaveRetirementLearning Budget

Key Requirements

•8+ years of experience in technical leadership or engineering partnerships, with a history of building impactful industry relationships.
•Deep technical fluency in the AI lifecycle, including training vs. inference, GPU roles, context windows, and RAG architectures.
•Apply first-principles thinking to security and networking challenges in enterprise LLM deployment.
•Strong bias for action with a “Ship Early, Iterate Fast” mentality and focus on delivering high-value MVPs.
•Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within your functional domain.

Experience:8+ yearsAI/MLEnterprise LLM deploymentRAGAI security

Skills:OwnershipProblem-solvingCollaborationIntegrityGrowth mindset

Languages:English

Tech Stack:LLMsGPU infrastructureAI application frameworksZero Trust ExchangeZero TrustAPIsSDKsVector databaseRAGAI/MLThird-party LLMs3rd-party LLMs

Company Brief

Zscaler

Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2007

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Zscaler

1 day ago

Principal, AI Research Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: United States, San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Define AI ecosystem strategy, including integrations with frontier model providers, vector database companies, and AI infrastructure leaders.
•Own the “Secure AI” roadmap across the lifecycle of features enabling safe use of 3rd-party LLMs and preventing data leakage.
•Build a developer ecosystem by defining and launching APIs, SDKs, and integration patterns for Zero Trust-native applications.
•Drive market leadership and cross-functional partnerships to turn complex technical integrations into high-growth go-to-market motions.

Pay and Benefits

Salary: USD 171,500 - 245,000 annually

Perks:Health InsurancePaid LeaveParental LeaveRetirementLearning Budget

Key Requirements

•8+ years of experience in technical leadership or engineering partnerships, with a history of building impactful industry relationships.
•Deep technical fluency in the AI lifecycle, including training vs. inference, GPU roles, context windows, and RAG architectures.
•Apply first-principles thinking to security and networking challenges in enterprise LLM deployment.
•Strong bias for action with a “Ship Early, Iterate Fast” mentality and focus on delivering high-value MVPs.
•Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within your functional domain.

Experience:8+ yearsAI/MLEnterprise LLM deploymentRAGAI security

Skills:OwnershipProblem-solvingCollaborationIntegrityGrowth mindset

Languages:English

Tech Stack:LLMsGPU infrastructureAI application frameworksZero Trust ExchangeZero TrustAPIsSDKsVector databaseRAGAI/MLThird-party LLMs3rd-party LLMs

Company Brief

Zscaler

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2007

Website LinkedIn