Senior AI Security Architect

Jobgether; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Jobgether, on behalf of a partner company, seeks a Senior AI Security Architect based in the United States to shape secure AI adoption for a global healthcare organization. You will define security architectures, governance, and safeguards for Generative AI, large language models (LLMs), AI agents, and ML platforms.

You will collaborate with Cybersecurity, Enterprise Architecture, Privacy, Legal, and Data teams to balance innovation with regulatory compliance and data protection.

Qualifications

• Lead security reviews for AI/ML and AI agents across the enterprise.
• Define security architectures and governance aligned with regulatory expectations.
• Collaborate with multiple teams to ensure privacy and risk controls.

Responsibilities

• Lead security reviews and assessments for AI/ML solutions across the enterprise.
• Define AI security architectures, standards, and best practices.
• Assess vendor risk, emerging technologies, and use-case risks.
• Conduct threat modeling and risk assessments for AI applications.
• Establish guardrails for LLMs, AI copilots, and RAG solutions.
• Support AI governance, monitoring, and compliance initiatives.

Skills

AI Security Architecture

Threat Modeling

Regulatory Compliance

Vendor Risk

Cloud Security

Governance

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Security Architect based in the United States.
We are seeking an experienced AI security professional to shape and lead the secure adoption of artificial intelligence technologies across a global healthcare organization.
In this role, you will define security architectures, governance frameworks, and technical safeguards for Generative AI, large language models (LLMs), AI agents, and machine learning platforms.
You will work at the intersection of cybersecurity, enterprise architecture, cloud infrastructure, data protection, and responsible AI innovation.
Collaborating with multidisciplinary teams, you will assess emerging technologies, identify security vulnerabilities, and establish controls that protect sensitive data and critical systems.
Your expertise will help balance rapid AI innovation with regulatory compliance, enterprise risk management, and robust security standards.
As an early contributor to the organization's AI security strategy, you will have significant visibility and the opportunity to influence technology decisions across multiple business functions.
This remote leadership opportunity offers the chance to advance secure AI adoption while helping shape the future of cybersecurity in the healthcare sector.

Accountabilities

• AI Security Architecture: Lead security reviews and assessments for artificial intelligence, Generative AI, machine learning, and AI agent solutions across the enterprise, ensuring that security requirements are integrated throughout the technology lifecycle.
• Security Standards and Best Practices: Define and implement AI security architectures, technical standards, and best practices that enable scalable, secure, and responsible AI adoption.
• Technology and Vendor Risk Assessment: Evaluate AI platforms, third-party vendors, emerging technologies, and proposed business use cases to identify security risks and recommend appropriate safeguards.
• Threat Modeling and Risk Management: Conduct threat modelling, architecture reviews, and enterprise risk assessments for AI applications and platforms, identifying vulnerabilities and developing mitigation strategies.
• AI-Specific Security Controls: Establish security guardrails for large language models, AI copilots, retrieval-augmented generation (RAG) solutions, autonomous AI agents, and related technologies. Address risks such as prompt injection, data leakage, model poisoning, adversarial attacks, and unauthorized model access.
• AI Governance and Compliance: Support enterprise AI governance initiatives by defining security requirements, approval processes, monitoring mechanisms, and risk management practices aligned with organizational policies and applicable regulatory expectations.
• Cross-Functional Collaboration: Partner with Cybersecurity, Enterprise Architecture, Data & Analytics, Infrastructure, Research & Development, Privacy, Legal, and Quality teams to ensure AI solutions meet security, privacy, and compliance requirements.
• Cloud and Data Protection: Apply security principles covering