Senior AI Security Engineer — LLM & Governance

InnoRev Technologies Inc; Irving (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

InnoRev Technologies Inc. is seeking a Senior Security Engineer for Artificial Intelligence to design, build, and run security controls across the AI lifecycle in an on-site Irving, TX role.

You will secure model development, training data, pipelines, APIs, and AI-enabled applications, partnering with product, engineering, data science, and compliance teams to mitigate model misuse, data leakage, supply chain threats, and adversarial attacks.

Qualifications

• Bachelor's degree in a highly technical field such as Cybersecurity, AI or CS.
• 5+ years in security engineering, app security, cloud security, or detection engineering.
• Experience securing LLM-based apps, RAG systems, or agentic workflows.
• Familiarity with adversarial ML concepts (prompt injection, model inversion, extraction).
• Experience with one or more cloud platforms (AWS/Azure/GCP).
• Experience with Kubernetes and container security.
• Hands-on programming, Python preferred.
• Strong understanding of AI/LLMs, API security, identity, secrets management, and cloud controls.
• Experience building security into CI/CD pipelines.
• Proven ability to lead cross-functional security work with engineering and product teams.
• Effective communication to technical and non-technical stakeholders; leadership escalation.
• Proven leadership capabilities to influence and drive change.

Responsibilities

• Secure the AI/ML lifecycle across development, training, deployment, and monitoring.
• Define security requirements for model development, training, evaluation, deployment, and monitoring.
• Threat model AI systems and features, including misuse scenarios.
• Establish secure-by-design patterns for model endpoints, prompts, RAG pipelines, and agent workflows.
• Validate controls for model access, rate limiting, tenant isolation, and secrets management.
• Protect data used by AI and control training data, prompts, and context.
• Implement guardrails for sensitive data exposure (PII, PCI).
• Define retention, deletion, and lineage for AI datasets and outputs.
• Collaborate with Privacy/Legal on data handling and third-party data use.
• Harden AI infrastructure and supply chain, including GPUs, containers, and registries.
• Assess risks in third-party models, libraries, embeddings, hosting services.
• Define integrity controls for model artifacts and evaluation sets.
• Build CI/CD checks for AI assets (scanning, signing, policy enforcement).
• Detect, monitor, and respond to AI threats; create detections for prompts and data exfiltration.
• Develop incident response playbooks for AI events (containment, rollback).
• Run security testing for AI features (red team, adversarial testing).
• Governance and program delivery; create security standards and reference architectures.
• Define KPIs like leakage reduction, detection speed, and policy coverage.
• Lead risk reviews for new features and vendor AI services.

Skills

LLM security

Adversarial ML

Kubernetes security

Python

Cloud security

CI/CD security

Cross-functional collaboration

Security architecture

Threat modeling

Stakeholder communication

Education

Bachelor’s degree in Cybersecurity, AI, CS, or related field

Tools

AWS

Azure

GCP

Kubernetes

SIEM

EDR

WAF

API gateways

Secrets managers

Job description

InnoRev Technologies Inc. is seeking a Senior Security Engineer for Artificial Intelligence to design, build, and run security controls across the AI lifecycle in an on-site Irving, TX role.

You will secure model development, training data, pipelines, APIs, and AI-enabled applications, partnering with product, engineering, data science, and compliance teams to mitigate model misuse, data leakage, supply chain threats, and adversarial attacks.