Assistant Vice President - AI Runtime Security

Location- Noida, Hybrid

Fulltime role

Bachelors or masters 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.

Assistant Vice President - AI Runtime Security