Senior Architect, AI Security

Qualifications

• As a subject matter expert, your expertise in securing AI/ML workloads on Microsoft Azure and Databricks is essential
• We're looking for someone with a comprehensive understanding of modern AI architectures and the specific security challenges posed by GenAI, Agentic AI systems, and Model Context Protocol (MCP) servers
• Minimum 5 years in a senior cybersecurity role with hands-on experience securing AI/ML workloads on Azure and Databricks
• Strong grasp of the AI/ML lifecycle and MLOps practices
• Excellent understanding of security practices in cloud-native environments
• Demonstrated knowledge of AI/ML security threats
• Proficient in Python with familiarity in AI and data science libraries
• Exceptional communication skills for translating complex concepts to diverse audiences
• Displays intellectual curiosity and integrity, striving for impactful business outcomes
• Able to thrive in a team environment and lead cross-functional initiatives

Benefits

• Pay Range: $97,299 - $227,679 / ANNUAL
• Actual compensation may vary based on geographic location, work experience, education, and skill level

Responsibilities

• In this pivotal role, you will shape and implement the security framework for advanced artificial intelligence and machine learning systems
• Design Secure AI/ML Architectures: Create and advocate for secure and scalable architecture patterns for AI/ML solutions utilizing Microsoft Azure services and Databricks tools
• AI/ML Threat Modeling: Conduct thorough threat modeling and risk assessments for AI/ML systems to identify vulnerabilities, including model inversion and data poisoning
• Agentic AI Security: Drive security efforts for autonomous AI agents by leading risk assessments and designing controls to mitigate risks like tool abuse
• MCP Server Governance: Develop a robust security framework for Model Context Protocol (MCP) servers to maintain data integrity, confidentiality, and availability
• MLSecOps Integration: Collaborate with MLOps and Data Science teams to integrate security controls throughout the machine learning development lifecycle
• Architectural Guidance: Update AI Reference Architectures and publish AI Standards and Patterns focused on security, privacy, and observability
• Provide strategic advisory on AI capabilities and ensure alignment with organizational goals through actionable recommendations
• Partner & Collaborate: Work seamlessly with solution architects, cybersecurity teams, and compliance to identify and address AI risks
• Threat Research: Stay updated on emerging threats and develop proactive defense strategies for AI systems

Full Description

Job Description

Job Summary

Join our innovative AI Security Architecture team as a Senior AI Security Architect!

In this pivotal role, you will shape and implement the security framework for advanced artificial intelligence and machine learning systems.

As a subject matter expert, your expertise in securing AI/ML workloads on Microsoft Azure and Databricks is essential.

We're looking for someonewith a comprehensive understanding of modern AI architectures and the specific security challenges posed by GenAI, Agentic AI systems, and Model Context Protocol (MCP) servers.

Job Duties:

• Design Secure AI/ML Architectures: Create and advocate for secure and scalable architecture patterns for AI/ML solutions utilizing Microsoft Azure services and Databricks tools.

• AI/ML Threat Modeling: Conduct thorough threat modeling and risk assessments for AI/ML systems to identify vulnerabilities, including model inversion and data poisoning.

• Agentic AI Security: Drive security efforts for autonomous AI agents by leading risk assessments and designing controls to mitigate risks like tool abuse.

• MCP Server Governance: Develop a robust security framework for Model Context Protocol (MCP) servers to maintain data integrity, confidentiality, and availability.

• MLSecOps Integration: Collaborate with MLOps and Data Science teams to integrate security controls throughout the machine learning development lifecycle.

• Architectural Guidance: Update AI Reference Architectures and publish AI Standards and Patterns focused on security, privacy, and observability.

• Provide strategic advisory on AI capabilities and ensure alignment with organizational goals through actionable recommendations.

• Partner & Collaborate: Work seamlessly with solution architects, cybersecurity teams, and compliance to identify and address AI risks.

• Threat Research: Stay updated on emerging threats and develop proactive defense strategies for AI systems.

Job Qualifications

REQUIRED QUALIFICATIONS:

• Minimum 5 years in a senior cybersecurity role with hands-on experience securing AI/ML workloads on Azure and Databricks.

• Strong grasp of the AI/ML lifecycle and MLOps practices.

• Excellent understanding of security practices in cloud-native environments.

• Demonstrated knowledge of AI/ML security threats.

• Proficient in Python with familiarity in AI and data science libraries.

• Exceptional communication skills for translating complex concepts to diverse audiences.

• Displays intellectual curiosity and integrity, striving for impactful business outcomes.

• Able to thrive in a team environment and lead cross-functional initiatives.

PREFERRED QUALIFICATIONS:

• Expertise in Agentic AI security and familiar with mitigation techniques.

• Experience with securing Model Context Protocol (MCP) infrastructures.

• Knowledge of MLSecOps principles for CI/CD pipeline security.

• Relevant certifications such as CISSP, CCSP, or Azure Security Engineer Associate/Expert.

• Familiarity with governance and compliance essential for security and privacy management.

• Experience in supporting agile teams by advising on design and risk assessment.

• Background in Generative AI solutions and MLOps, particularly with tools like OpenAI.

• Ability to balance short-term decisions with long-term objectives.

To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.

Molina Healthcare offers a competitive benefits and compensation package.

Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $97,299 - $227,679 / ANNUAL

• Actual compensation may vary based on geographic location, work experience, education, and skill level.