More jobs:
Senior Security Engineer
Job in
Irving, Dallas County, Texas, 75084, USA
Listed on 2026-07-27
Listing for:
Resolve Tech Solutions
Full Time
position Listed on 2026-07-27
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cybersecurity, Machine Learning/ ML Engineer, Information Security & Data Protection
Job Description & How to Apply Below
Job Title:
Senior Security Engineer, Artificial Intelligence
Reports To:
Sr. Manager, Security Architecture
Location:
Irving, TX
Full-time with RTs
About the RoleYou design, build, and run security controls for artificial intelligence systems across the full lifecycle. You secure model development, training data, pipelines, APIs, and AI-enabled applications. You work with product, engineering, data science, and compliance teams to reduce exposure from model misuse, data leakage, supply chain threats, and adversarial attacks. You deliver measurable improvements in AI governance, detection, and incident response.
Responsibilities- Secure the AI and ML lifecycle
- Define security requirements for model development, training, evaluation, deployment, and monitoring
- Threat model AI systems and AI features in products, including abuse cases and 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
- Classify and control training data, fine-tuning data, prompts, and retrieved context
- Implement guardrails for sensitive data exposure, including PII and PCI data
- Define retention, deletion, and lineage requirements for AI datasets and outputs
- Partner with Privacy and Legal on data handling, regulatory expectations, and third-party data use
- Secure AI infrastructure and supply chain
- Harden AI platforms, GPU and container workloads, model registries, and artifact stores
- Assess risks in third-party models, libraries, embeddings, and model hosting services
- Define integrity controls for model artifacts, evaluation sets, and pipeline automation
- Build CI and CD checks for AI assets, including scanning, signing, and policy enforcement
- Detection, monitoring, and response for AI threats
- Build logging standards for model requests, responses, tool calls, and retrieval events
- Create detections for prompt injection, data exfiltration attempts, model extraction signals, and anomalous usage
- Develop incident response playbooks for AI events, including containment and rollback plans
- Run security testing for AI features, including red teaming and structured adversarial testing
- Governance and program delivery
- Create practical AI security standards, patterns, and reference architectures
- Define KPIs such as reduction in sensitive output leakage, time to detect misuse, and policy coverage
- Lead risk reviews for new AI features and vendor assessments for AI services
- Train engineering and data science teams on secure AI patterns and common attack paths
- Bachelor's degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field
- 5+ years in security engineering, application security, cloud security, or detection engineering
- Experience securing LLM-based applications, RAG systems, or agentic workflows
- Familiarity with adversarial ML concepts, such as prompt injection, model inversion, and model extraction
- Experience with one or more cloud platforms, AWS, Azure, or GCP
- Experience with Kubernetes and container security
- Hands‑on experience with at least one programming language, Python preferred
- Strong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls
- Experience building security controls into CI and CD pipelines
- Proven ability to lead cross-functional security work with engineering and product teams
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders
- Effectively communicate to leadership and know when to elevate with proactive, clear, data‑driven insight, highlighting risks, roadblocks, and solutions
- Proven leadership capabilities with the ability to influence and drive change
- Master's degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field
- AI/ML certifications (e.g., Microsoft Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy)
- Experience with security telemetry and detections in SIEM or EDR platforms
We are committed to diversity and inclusivity.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×