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Tech Stack
Tools & technologiesAirflowAzureCyber SecurityJenkins
About the role
Key responsibilities & impact- Define and own enterprise AI governance controls focused on runtime security, monitoring, and enforcement for GenAI, LLM, RAG, and Agentic AI systems in production.
- Establish technical standards for runtime threat detection and prevention, covering prompt injection, agent manipulation, inference abuse, data leakage, hallucination exploitation, and unauthorized model access.
- Ensure AI runtime architectures incorporate guardrails, policy enforcement points, and telemetry collection across APIs, orchestration layers, model gateways, and inference pipelines.
- Oversee implementation of continuous monitoring and observability mechanisms, including behavioral monitoring, data and concept drift detection, usage anomalies, and output risk indicators.
- Institutionalize governance requirements for runtime risk response, including alerting thresholds, automated containment, escalation workflows, and integration with enterprise cyber and incident response processes.
- Partner with platform, security, and MLOps/LLMOps teams to embed runtime controls into CI/CD pipelines, model deployment workflows, and API management layers without impacting delivery velocity.
- Define governance expectations for secure AI operation at scale, including access control, rate limiting, logging, explainability at runtime, and auditable control evidence.
- Lead technical governance for high‑risk and regulated AI deployments, ensuring runtime behavior complies with internal policies, client contractual commitments, and global regulatory expectations (e.g., NIST AI RMF).
- Act as the technical advisor for AI runtime risk decisions, advising executive stakeholders and clients on production readiness, risk acceptance, and control effectiveness.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Information/Cyber Security, AI/ML, Data Science, or related field
- 10-15+ years overall experience, including 3+ years in AI governance, AI runtime threat vectors and AI observability, monitoring, and drift management
- Proven ability to design and govern runtime guardrails using AI governance and risk platforms (e.g., Credo.ai for AI inventory, policy enforcement, and risk assessment)
- Strong hands‑on understanding of runtime monitoring and observability for AI systems, leveraging LLMOps/MLOps platforms such as MLflow, Weights & Biases, Datadog, Azure Monitor, CloudWatch, or equivalent, to track usage patterns, behavioral anomalies, and model drift in production.
- Command of drift detection and AI behavior monitoring, including data drift, concept drift, and output instability, using observability and model monitoring tools (e.g., Aporia, Datatron, custom telemetry built on OpenTelemetry).
- Ability to operationalize AI runtime governance controls within CI/CD and deployment pipelines, embedding security checks and enforcement into MLOps/LLMOps workflows orchestrated through platforms such as Kubeflow, Airflow, GitHub Actions, Azure DevOps, or Jenkins.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Assistant Vice President – AI Runtime Security 🔥 4 minutes ago 🏢🏡 null – Hybrid ⏰ Full Time 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Airflow Azure Cyber Security Jenkins Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Define and own enterprise AI governance controls focused on runtime security, monitoring, and enforcement for GenAI, LLM, RAG, and Agentic AI systems in production.
- Establish technical standards for runtime threat detection and prevention, covering prompt injection, agent manipulation, inference abuse, data leakage, hallucination exploitation, and unauthorized model access.
- Ensure AI runtime architectures incorporate guardrails, policy enforcement points, and telemetry collection across APIs, orchestration layers, model gateways, and inference pipelines.
- Oversee implementation of continuous monitoring and observability mechanisms, including behavioral monitoring, data and concept drift detection, usage anomalies, and output risk indicators.
- Institutionalize governance requirements for runtime risk response, including alerting thresholds, automated containment, escalation workflows, and integration with enterprise cyber and incident response processes.
- Partner with platform, security, and MLOps/LLMOps teams to embed runtime controls into CI/CD pipelines, model deployment workflows, and API management layers without impacting delivery velocity.
- Define governance expectations for secure AI operation at scale, including access control, rate limiting, logging, explainability at runtime, and auditable control evidence.
- Lead technical governance for high‑risk and regulated AI deployments, ensuring runtime behavior complies with internal policies, client contractual commitments, and global regulatory expectations (e.g., NIST AI RMF).
- Act as the technical advisor for AI runtime risk decisions, advising executive stakeholders and clients on production readiness, risk acceptance, and control effectiveness. 🎯 Requirements
- Bachelor’s or Master’s degree in Computer Science, Information/Cyber Security, AI/ML, Data Science, or related field
- 10-15+ years overall experience, including 3+ years in AI governance, AI runtime threat vectors and AI observability, monitoring, and drift management
- Proven ability to design and govern runtime guardrails using AI governance and risk platforms (e.g., Credo.ai for AI inventory, policy enforcement, and risk assessment)
- Strong hands‑on understanding of runtime monitoring and observability for AI systems, leveraging LLMOps/MLOps platforms such as MLflow, Weights & Biases, Datadog, Azure Monitor, CloudWatch, or equivalent, to track usage patterns, behavioral anomalies, and model drift in production.
- Command of drift detection and AI behavior monitoring, including data drift, concept drift, and output instability, using observability and model monitoring tools (e.g., Aporia, Datatron, custom telemetry built on OpenTelemetry).
- Ability to operationalize AI runtime governance controls within CI/CD and deployment pipelines, embedding security checks and enforcement into MLOps/LLMOps workflows orchestrated through platforms such as Kubeflow, Airflow, GitHub Actions, Azure DevOps, or Jenkins. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Director – Network & Information Security 🕒 5 days ago Verizon 10,000+ employees 📡 Telecommunications 👥 B2C 🏢 Enterprise Website LinkedIn All Job Openings Cybersecurity leader at Verizon overseeing applications and network security. Elevating cybersecurity practices and implementing security controls against threats. 🏢🏡 Hyderabad – Hybrid 🔥 Funding within the last year 💰 $2.3G Post IPO debt on 2025-08 ⏰ Full Time 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Cyber Security SDLC Security Program Manager 🕒 April 13 iCert Global 51 - 200 📚 Education ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings Security Program Manager acting as the accountable owner for customer Azure security. Engaging in strategic customer security discussions and managing security operations across Icertis Cloud Infrastructure. 🏢🏡 Pune – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Azure Cloud Team Manager, Application Security 🕒 April 10 Pearson VUE 1001 - 5000 📚 Education 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Team Manager leading Application Security Engineering to establish and mature security programs. Overseeing a team of engineers and driving secure practices within the organization. 🏢🏡 Bangalore – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Cloud Microservices SDLC Staff Security Engineer 🕒 April 7 Pearson VUE 1001 - 5000 📚 Education 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Infrastructure Security Engineer partnering with SRE and infrastructure teams to embed security into infrastructure deployment. Responsible for creating secure configurations and validation templates. 🏢🏡 Bangalore – Hybrid ⏰ Full Time 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Ansible AWS Azure Cloud Cyber Security Firewalls Google Cloud Platform Linux Terraform Staff Security Engineer 🕒 April 2 Pearson VUE 1001 - 5000 📚 Education 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Senior SOC Engineer at Pearson's Security Operations Centre. Leading design, implementation, and optimization of security tooling and infrastructure to enhance detection capabilities. 🏢🏡 Bangalore – Hybrid ⏰ Full Time 🔴 Lead 👮♂️ Cybersecurity / Security Engineer Python Splunk View More Security Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
AI governanceruntime securitythreat detectiondata driftconcept driftoutput instabilityruntime monitoringobservabilityrisk assessmentpolicy enforcement
Soft Skills
leadershipcommunicationadvisorycollaborationproblem-solving