Molina Healthcare · 2 months ago
Senior Architect, Artificial Intelligence Security - Databricks/Azure - Remote
United States
Full-time
Remote
Senior Level
5+ years expMolina Healthcare is seeking an experienced Senior AI Security Architect to join their newly formed AI Security Architecture team. In this critical role, you will design and implement security frameworks for artificial intelligence and machine learning systems, focusing on securing workloads within Microsoft Azure and Databricks environments.
Health CareHospitalMedical
Responsibilities
Design Secure AI/ML Architectures: Develop and promote secure, resilient, and scalable architecture patterns for AI/ML solutions built on Microsoft Azure (Azure API Manager, Azure Foundry, Azure OpenAI, CoPilot Studio, etc.) and Databricks (Unity Catalog, notebooks, MLflow, etc.)
AI/ML Threat Modeling: Conduct comprehensive threat modeling and risk assessments specifically for AI/ML systems, identifying vulnerabilities related to model inversion, data poisoning, adversarial attacks, and prompt injection
Agentic AI Security: Lead the threat modeling, risk assessment, and security control design for autonomous AI agents, focusing on mitigating risks such as prompt injection, tool abuse, and uncontrolled agentic behavior
MCP Server Governance: Establish and enforce a comprehensive security and governance framework for our Model Context Protocol (MCP) servers, ensuring the integrity, confidentiality, and availability of contextual data
MLSecOps Integration: Collaborate with our MLOps and Data Science teams to embed automated security controls ('shift-left') into the entire machine learning development lifecycle, from data ingestion to model deployment
Architectural Guidance: Maintain AI Reference Architectures and Guidance and update the specification and publication of AI Standards and Patterns around AI technology, development, security, privacy, and observability
Strategic Advisory & Business Alignment: Consult on AI capabilities across business and technology platforms, ensuring alignment between AI architecture frameworks and the organization’s strategic goals. Offer actionable recommendations on solution design, risk mitigation, and cross-domain impacts
Partner & Collaborate: Partner with solution architects, technology leaders, business, governance, cyber security, compliance, and privacy teams to identify AI risks, document design decisions, and provide enterprise patterns to resolve issues
Threat Research: Stay current with the latest threats and vulnerabilities targeting AI systems and develop proactive strategies to defend against them. Design capabilities for AI Governance and Observability
Qualification
Required
At least 5 years of experience in a senior cybersecurity role (e.g., Security Architect, Cloud Security Engineer), or equivalent combination of relevant education and experience
Proven, hands-on experience securing AI/ML workloads and data pipelines within Microsoft Azure and Databricks platforms
Deep understanding of the AI/ML lifecycle and MLOps practices
Strong understanding of network, application, and data security controls in a cloud-native environment
Demonstrated knowledge of the unique security challenges and threat landscape of AI/ML systems
Proficient in Python and familiarity with data science and AI libraries
Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Displays intellectual curiosity, integrity, and is motivated by achieving long-term business outcomes
Ability to work effectively in a team environment and lead cross-functional teams
Preferred
In-depth understanding of Agentic AI security, including common attack vectors and mitigation techniques
Experience with Model Context Protocol (MCP) and securing the infrastructure that supports it
Familiarity with MLSecOps principles and tools for security testing and automation in for Continuous Integration and Continuous Delivery/Continuous Deployment (CI/CD) pipelines
Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Azure Security Engineer Associate/Expert
Exposure to governance and compliance regimes; a good understanding of security and privacy management, and regulatory requirements including Health Insurance Portability and Accountability Act (HIPAA HITECH)
Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt
Experience designing Generative AI (GenAI) solutions, with experience in Machine Learning Operations (MLOps), Large Language Models (LLM), OpenAI, CoPilot Studio, Agentic AI frameworks such as Langchain, LangGraph and Agent Development Kit (Google ADK), Data Foundry, and Data Fabric
Ability to balance the long-term (big picture) and short-term implications of individual decisions
Benefits
Competitive benefits and compensation package
Company
Molina Healthcare
Molina Healthcare is a healthcare company that specializes in government-sponsored healthcare programs for families and individuals.
10001+ employees
H1B Sponsorship
Molina Healthcare has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (56)
2024 (45)
2023 (43)
2022 (31)
2021 (35)
2020 (55)
Funding
Current Stage
Public CompanyTotal Funding
$2.35B2025-11-17Post Ipo Debt· $850M
2024-11-13Post Ipo Debt· $750M
2021-11-16Post Ipo Debt· $750M
Leadership Team
Dave Reynolds
Executive Vice President, Health Plans & Medicaid Chief Operating Officer
Debbie Simkins
Vice President, Office of the CIO
Recent News
2026-01-03
Company data provided by crunchbase