{"schemaVersion":"jobsearcher.job.v1","id":"cf7a5aa4f1f26ecfe937827a","url":"https://jobsearcher.com/jobs/cf7a5aa4f1f26ecfe937827a","canonicalUrl":"https://jobsearcher.com/jobs/cf7a5aa4f1f26ecfe937827a","title":"Senior Security Engineer","description":"Job Description\\nAbout the Company\\n\\n\\nJob Title: Senior Security Engineer, Artificial Intelligence\\n\\nReports To: Sr. Manager, Security Architecture\\n\\nLocation: Irving, TX\\n\\nOnsite job\\n\\nFull-time with RTs\\n\\n\\nAbout the Role\\n\\nYou 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.\\n\\nResponsibilities\\n\\n\\nSecure the AI and ML lifecycle\\nDefine security requirements for model development, training, evaluation, deployment, and monitoring\\nThreat model AI systems and AI features in products, including abuse cases and misuse scenarios\\nEstablish secure-by-design patterns for model endpoints, prompts, RAG pipelines, and agent workflows\\nValidate controls for model access, rate limiting, tenant isolation, and secrets management\\nProtect data used by AI\\nClassify and control training data, fine-tuning data, prompts, and retrieved context\\nImplement guardrails for sensitive data exposure, including PII and PCI data\\nDefine retention, deletion, and lineage requirements for AI datasets and outputs\\nPartner with Privacy and Legal on data handling, regulatory expectations, and third-party data use\\nSecure AI infrastructure and supply chain\\nHarden AI platforms, GPU and container workloads, model registries, and artifact stores\\nAssess risks in third-party models, libraries, embeddings, and model hosting services\\nDefine integrity controls for model artifacts, evaluation sets, and pipeline automation\\nBuild CI and CD checks for AI assets, including scanning, signing, and policy enforcement\\nDetection, monitoring, and response for AI threats\\nBuild logging standards for model requests, responses, tool calls, and retrieval events\\nCreate detections for prompt injection, data exfiltration attempts, model extraction signals, and anomalous usage\\nDevelop incident response playbooks for AI events, including containment and rollback plans\\nRun security testing for AI features, including red teaming and structured adversarial testing\\nGovernance and program delivery\\nCreate practical AI security standards, patterns, and reference architectures\\nDefine KPIs such as reduction in sensitive output leakage, time to detect misuse, and policy coverage\\nLead risk reviews for new AI features and vendor assessments for AI services\\nTrain engineering and data science teams on secure AI patterns and common attack paths\\n\\n\\n\\nQualifications\\n\\n\\nBachelor’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field\\n5+ years in security engineering, application security, cloud security, or detection engineering\\nExperience securing LLM-based applications, RAG systems, or agentic workflows\\nFamiliarity with adversarial ML concepts, such as prompt injection, model inversion, and model extraction\\nExperience with one or more cloud platforms, AWS, Azure, or GCP\\nExperience with Kubernetes and container security\\nHands-on experience with at least one programming language, Python preferred\\nStrong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls\\nExperience building security controls into CI and CD pipelines\\nProven ability to lead cross-functional security work with engineering and product teams\\nEffectively communicate complex technical concepts to both technical and non-technical stakeholders\\nEffectively communicate to leadership and know when to escalate with proactive, clear, data-driven insight, highlighting risks, roadblocks, and solutions\\nProven leadership capabilities with the ability to influence and drive change\\n\\n\\n\\nPreferred Skills\\n\\n\\nMaster’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field\\nAI/ML certifications (e.g., Microsoft Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy)\\nExperience with security telemetry and detections in SIEM or EDR platforms\\n\\n\\n\\nPay range and compensation package\\n\\nExpected output: Return only valid HTML. Do not wrap the output in code blocks or add any markdown formatting.\\n\\nEqual Opportunity Statement\\n\\nWe are committed to diversity and inclusivity.\\n","company":"Resolve Tech Solutions","rawCompany":"resolve tech solutions","city":"Irving","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-02T00:32:40.058Z","occupations":[{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1212.00","title":"Information Security Analysts","slug":"information-security-analysts"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Security Engineer","description":"Job Description\\nAbout the Company\\n\\n\\nJob Title: Senior Security Engineer, Artificial Intelligence\\n\\nReports To: Sr. Manager, Security Architecture\\n\\nLocation: Irving, TX\\n\\nOnsite job\\n\\nFull-time with RTs\\n\\n\\nAbout the Role\\n\\nYou 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.\\n\\nResponsibilities\\n\\n\\nSecure the AI and ML lifecycle\\nDefine security requirements for model development, training, evaluation, deployment, and monitoring\\nThreat model AI systems and AI features in products, including abuse cases and misuse scenarios\\nEstablish secure-by-design patterns for model endpoints, prompts, RAG pipelines, and agent workflows\\nValidate controls for model access, rate limiting, tenant isolation, and secrets management\\nProtect data used by AI\\nClassify and control training data, fine-tuning data, prompts, and retrieved context\\nImplement guardrails for sensitive data exposure, including PII and PCI data\\nDefine retention, deletion, and lineage requirements for AI datasets and outputs\\nPartner with Privacy and Legal on data handling, regulatory expectations, and third-party data use\\nSecure AI infrastructure and supply chain\\nHarden AI platforms, GPU and container workloads, model registries, and artifact stores\\nAssess risks in third-party models, libraries, embeddings, and model hosting services\\nDefine integrity controls for model artifacts, evaluation sets, and pipeline automation\\nBuild CI and CD checks for AI assets, including scanning, signing, and policy enforcement\\nDetection, monitoring, and response for AI threats\\nBuild logging standards for model requests, responses, tool calls, and retrieval events\\nCreate detections for prompt injection, data exfiltration attempts, model extraction signals, and anomalous usage\\nDevelop incident response playbooks for AI events, including containment and rollback plans\\nRun security testing for AI features, including red teaming and structured adversarial testing\\nGovernance and program delivery\\nCreate practical AI security standards, patterns, and reference architectures\\nDefine KPIs such as reduction in sensitive output leakage, time to detect misuse, and policy coverage\\nLead risk reviews for new AI features and vendor assessments for AI services\\nTrain engineering and data science teams on secure AI patterns and common attack paths\\n\\n\\n\\nQualifications\\n\\n\\nBachelor’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field\\n5+ years in security engineering, application security, cloud security, or detection engineering\\nExperience securing LLM-based applications, RAG systems, or agentic workflows\\nFamiliarity with adversarial ML concepts, such as prompt injection, model inversion, and model extraction\\nExperience with one or more cloud platforms, AWS, Azure, or GCP\\nExperience with Kubernetes and container security\\nHands-on experience with at least one programming language, Python preferred\\nStrong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls\\nExperience building security controls into CI and CD pipelines\\nProven ability to lead cross-functional security work with engineering and product teams\\nEffectively communicate complex technical concepts to both technical and non-technical stakeholders\\nEffectively communicate to leadership and know when to escalate with proactive, clear, data-driven insight, highlighting risks, roadblocks, and solutions\\nProven leadership capabilities with the ability to influence and drive change\\n\\n\\n\\nPreferred Skills\\n\\n\\nMaster’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field\\nAI/ML certifications (e.g., Microsoft Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy)\\nExperience with security telemetry and detections in SIEM or EDR platforms\\n\\n\\n\\nPay range and compensation package\\n\\nExpected output: Return only valid HTML. Do not wrap the output in code blocks or add any markdown formatting.\\n\\nEqual Opportunity Statement\\n\\nWe are committed to diversity and inclusivity.\\n","datePosted":"2026-08-02T00:32:40.058Z","dateModified":"2026-08-02T00:32:40.058Z","hiringOrganization":{"@type":"Organization","name":"Resolve Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cf7a5aa4f1f26ecfe937827a"},"url":"https://jobsearcher.com/jobs/cf7a5aa4f1f26ecfe937827a"}}