Lead Senior Security Engineer (Enterprise AI Platform)

Palo Alto, CA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
No Travel Required
On-site
$225 - $250/yr
Fitment

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Job Details

Skills

  • API
  • Access Control
  • Artificial Intelligence
  • Auditing
  • Cloud Computing
  • Cloud Security
  • Collaboration
  • Computer Networking
  • Customer Facing
  • Customer Support
  • Data Security
  • DevOps
  • Continuous Integration
  • Generative Artificial Intelligence (AI)
  • ISO/IEC 27001:2005
  • Documentation
  • Identity Management
  • Incident Management
  • Microsoft Azure
  • OIDC
  • Privacy
  • Procurement
  • RBAC
  • Regulatory Compliance
  • Encryption
  • Machine Learning (ML)
  • Leadership
  • Modeling
  • SAML
  • SSO
  • SaaS
  • Risk Assessment
  • Management
  • Security Architecture
  • Vulnerability Management
  • Workflow
  • Strategic Management
  • Software Development Methodology
  • Software Security

Summary

As Lead Senior Security Engineer, you will lead the security architecture, strategy, and implementation of our client’s AI platform, ensuring its infrastructure, AI workflows, data pipelines, and enterprise deployments meet the security and privacy standards of Fortune 1000 organizations.

This hands-on leadership role combines strategic direction with technical execution. You will partner with various Engineering teams to design, implement, and embed security across the platform and deployment lifecycle while supporting enterprise customer requirements.

Key Responsibilities

Lead platform security architecture and implementation
Own and drive the security architecture and implementation of the AI platform across application and cloud security, data protection, identity and access management, tenant isolation, auditability, and secure enterprise integrations.

Design and Implement Secure Enterprise Deployment Architectures

Define and implement secure, scalable deployment models for Fortune 1000 customers across cloud-hosted and customer-managed environments. Ensure enterprise grade security through SSO, RBAC, secure API integrations, tenant isolation, data encryption, key management, private networking, secure data ingestion, monitoring and auditability.

 

Embed Security Across Engineering and Operations

Collaborate with Cloud, DevOps, GenAI and Forward Deployed Engineering teams to integrate security best practices throughout the development and deployment lifecycle, including CI/CD, infrastructure-as-code, security secrets management, vulnerability management, monitoring, incident response, and production operations.

 

Secure AI Platform Capabilities

Lead the security design and implementation of GenAI workflows, ensuring robust controls for prompt and data isolation, retrieval security, model access, secure tool usage, adversarial testing, output governance, auditability, and third-party model integrations.

 

Serve as the senior security counterpart for enterprise customers and compliance
Lead technical security discussions with Fortune 1000 customers, support procurement and vendor risk reviews, translate customer requirements into platform capabilities, and partner with compliance teams on SOC 2, ISO 27001, SSPA, customer audits, control evidence, and security documentation.

Lead Enterprise Security and Compliance Engagements

Serves as senior security partner for enterprise customers, leading technical security discussions, supporting procurement and vendor risk assessments, and translating customer requirements into platform capabilities. Collaborate with compliance teams to support SOC 2, ISO 27001, SSPA, customer audits, control evidence, and security documentation.


Qualifications

8+  Years of Security Architecture and Engineering experience

Proven experience in application, cloud, platform, or enterprise SaaS security, with a strong background in designing and securing complex, data-intensive systems. Experience securing AI/ML platforms and GenAI capabilities is highly desirable.

 

Proven Experience Designing Enterprise-Grade Security Architectures

Demonstrated track record of architecting and implementing robust security solutions for SaaS platforms, cloud-native environments, customer-facing products, or complex systems deployed within large enterprise organizations.

 

Hands-On Cloud and Infrastructure Security Expertise

Extensive experience designing and implementing cloud and infrastructure security solutions, preferably in Azure environments. Strong knowledge of IAM, cloud networking, private endpoints, container security, key management, encryption, logging, monitoring, workload identity, and infrastructure protection.

 

Strong Identity, Access Control, and Application Security Expertise

Demonstrated experience implementing identity and access management solutions, including SSO, SAML, OIDC, RBAC, service identities, and least-privilege access controls. Strong knowledge of secure SDLC, thread modeling, API security, secrets management, vulnerability management, and secure coding practices.

 

Experience Engaging Enterprise Customers and Cross-Functional Engineering Teams

Proven ability to lead enterprise security reviews, procurement assessments, vendor risk evaluations, and deployment security planning. Strong collaboration skills with Cloud, DevOps, GenAI, Platform, and Forward Deployed Engineering teams to deliver secure, enterprise ready solutions.

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111962
  • Position Id: 9134980
  • Posted 2 hours ago
Contact the job poster
Cheryl Flores

Cheryl Flores

Talent Space Inc Recruiter @ Talent Space, Inc.

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