Mission
AISecurityOperationsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Security Operations Engineer at Mission. Skills: AI Security, Generative AI, Agentic AI, Security architecture. Lead security design. Lead operational oversight”
What You'll Achieve.
AI initiatives move faster; Agentic AI systems deployed; Security reviews scale; Leadership has visibility
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Bachelor's Degree, 7+ years cybersecurity architecture, 7+ years security engineering, 7+ years security operations, Securing cloud environments, Securing hybrid environments, Securing on-prem environments, Hands-on AI/ML security, Hands-on Generative AI, Hands-on Agentic AI concepts, Build enterprise security frameworks, Scale enterprise security frameworks, Threat modeling, Risk analysis, Secure solution design, Advise multiple stakeholders, Influence multiple stakeholders, Operate independently, Shape strategy, Shape execution
Nice to Have
Designing enterprise AI cybersecurity frameworks, Contributing to enterprise AI cybersecurity frameworks, Supporting AI governance programs, Supporting AI accelerator programs, Knowledge of global regulatory requirements, Knowledge of compliance requirements, Experience in life sciences, Experience in healthcare, Experience in highly regulated environments
What You'll Do.
Lead operational oversight
Define AI security frameworks
Operationalize AI security frameworks
Operationalize AI standards
Define review processes
Operationalize review processes
Conduct AI security architecture reviews
Conduct threat modeling
Support agentic AI workflows
Monitor agentic AI workflows
Ensure accountability
Ensure runtime visibility
Partner with AI leadership
Partner with accelerator programs
Enable secure AI adoption
Translate cybersecurity risks
Contribute to AI governance programs
Align with regulatory expectations
Enable continuous improvement
Automate AI security operations
Use metrics for AI security
Use repeatable processes for AI security
How You'll Work.
Team & Collaboration
Engineering stakeholders; AI stakeholders; Business stakeholders
Communication Scope
Business impact narratives
Full Job Description
The **AI Security Operations Engineer** is responsible for securing, operationalizing, and scaling **AI, Generative AI, and Agentic AI systems** across the enterprise. This role bridges **security architecture, AI governance, and operational security** , ensuring AI systems are designed, deployed, and monitored with **security** ‑**by** ‑**design and runtime assurance**. This role operates as a **hands** ‑**on technical leader** and trusted advisor to engineering, AI, and business stakeholders, translating AI risk into actionable security controls without slowing innovation. **Key Responsibilities** * Lead **security design and operational oversight** for AI, Generative AI, and Agentic AI initiatives across the enterprise * Define and operationalize **AI security frameworks, standards, and review processes** that govern model lifecycle, data usage, and autonomous behavior * Conduct **AI** ‑**focused security architecture reviews** and threat modeling to identify and mitigate risks before deployment * Support and monitor **agentic and autonomous AI workflows** , ensuring guardrails, accountability, and runtime visibility * Partner with AI leadership and accelerator programs to enable **secure AI adoption at scale** * Translate complex AI and cybersecurity risks into **clear business and patient**‑**impact narratives** for senior leadership * Contribute to and evolve **enterprise AI governance programs** , aligning with global regulatory expectations (e.g., NIST AI RMF, EU AI Act, privacy frameworks) * Enable continuous improvement of AI security operations through **automation, metrics, and repeatable processes** **Required Qualifications** * Bachelor's Degree * 7+ years of experience in **cybersecurity architecture, security engineering, or security operations** * Demonstrated expertise securing **cloud, hybrid, and on**‑**prem environments** (AWS, Azure, GCP) * Hands‑on experience with **AI/ML security, Generative AI, and Agentic AI concepts** * Proven ability to b
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