[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Santa Clara, CA # Senior Staff AI Security Engineer Santa Clara, California, United States Full-time Senior individual contributor $190,900 - $334,100 Security Listed on ServiceNow’s official careers site. Posted September 8, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000148359929-senior-staff-ai-security-engineer) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior Staff AI Security Engineer ## Job description Team Overview Platform Security Core builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. We are looking for a hands-on Senior Staff Engineer (Technical Leader) with deep expertise in machine learning systems, inference engines, and security architecture to lead next-generation AI security initiatives. ### Role Summary As a Senior Staff AI Security Engineer, you will architect and deliver enterprise-scale AI security solutions that integrate machine learning, reasoning engines, and real-time inference into core security systems. You will bring strong technical leadership, hands-on machine learning depth, and the ability to design and operate intelligent security systems that learn and adapt. What You Get to Do in This Role Design and implement ML-driven security systems: Build machine learning algorithms for identity risk assessment, anomalous access detection, malware classification, and sensitive data discovery, applying agent guardrails, correlation from telemetry to detect misuse or malicious intent. ### Build inference engines and reasoning systems Architect high-performance inference pipelines and contextual reasoning systems that apply models in real-time across distributed security decisions. ### Integrate AI into access control and identity Apply machine learning to access control decisions—contextual analysis, adaptive authentication, behavioral biometrics, and identity confidence scoring. ### Develop attack detection and threat classification Build ML models for malware detection, anomaly detection, and threat pattern recognition with focus on false-positive reduction, operational efficiency, precision and recall scores. ### Implement sensitive data detection and classification Design AI systems for PII detection, data classification, and sensitive information governance at scale. ### Lead complex technical initiatives Provide technical leadership for multi-quarter efforts that combine ML research, systems engineering, and security domain expertise. ### Architect modular, reusable ML systems Build ML platforms, feature engineering frameworks, and model management infrastructure that teams can adopt and extend. ### Operate production AI systems Design for observability, model performance monitoring, retraining workflows, and safe model deployment in security-critical environments. ### Collaborate across security and infrastructure Work with teams across identity, access control, threat detection, and infrastructure to integrate AI solutions end-to-end. ### Research and evaluate emerging AI techniques Stay current with advances in AI/ML—transformer models, reasoning engines, retrieval-augmented generation—and evaluate their applicability to security problems. ## Qualifications To be successful in this role you have: ### Core Experience Bachelor's degree with 10+ years of software development experience; OR Master's degree with 8+ years; OR PhD with 6+ years; OR equivalent work experience. Hands-on experience implementing machine learning algorithms from scratch—not just using libraries, but understanding how models work at a fundamental level. Deep programming expertise in Java and/or Python, including systems-level knowledge and performance optimization. Proven track record building and deploying machine learning systems in production environments at significant scale. ### Strong fundamentals in computer science algorithms, data structures, complexity analysis, system design, and distributed systems. AI/ML Systems Expertise Deep understanding of machine learning fundamentals: supervised learning, unsupervised learning, model evaluation, feature engineering, and model selection. Hands-on experience with neural networks, deep learning frameworks (TensorFlow, PyTorch), and modern model architectures. ### Experience training, tuning, and deploying models hyperparameter optimization, regularization, preventing overfitting, and achieving production-grade model quality. ### Understanding of model inference latency optimization, quantization, model serving infrastructure, and real-time prediction pipelines. ### Experience with LLMs and large-scale foundation models fine-tuning, retrieval-augmented generation (RAG), prompt engineering at scale, and understanding of model weights and token economies. ### Knowledge of reasoning and agentic systems how to apply contextual analysis, multi-step reasoning, and decision logic on top of models. Experience with feature engineering, feature stores, and ML data pipelines at scale. ### Familiarity with model observability and monitoring detecting model drift, performance degradation, and retraining strategies. Security Architecture Expertise Deep knowledge of identity and access control systems: how authentication, authorization, and access decisions flow through enterprise systems. ### Experience applying machine learning to security problems anomaly detection, attack classification, risk scoring, and threat pattern recognition. ### Understanding of sensitive data landscapes PII detection, data classification frameworks, and data governance strategies. ### Familiarity with security operations how detection systems, alert triage, and incident response workflows operate at scale. Knowledge of common attack patterns and threat models relevant to enterprise security. ### Experience integrating security solutions with platform infrastructure API design, event streaming, and decision-making in critical paths. ### Nice to Have Experience with Kafka, stream processing, or real-time data systems for security applications. Hands-on work with cryptography, zero-trust architectures, or OAuth/mTLS. Experience deploying models in regulated environments with compliance and governance requirements. Track record mentoring junior engineers and driving technical excellence across teams. Open-source contributions to ML or security projects. For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. ## At a glance - Posted by the employer: Sep 8, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 39 days - Location: Santa Clara, California, United States - Employment type: Full-time - Pay: $190,900 - $334,100[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000148359929-senior-staff-ai-security-engineer) ## More jobs at ServiceNow ### [Principal Outbound Product Security Manager](https://jobs.opennash.com/companies/servicenow/jobs/3ef5c1edb9dd4cbd1eee/) Santa Clara, California, United States ### [Director of Product Management, Retail](https://jobs.opennash.com/companies/servicenow/jobs/0137d46a10d53de8e62d/) Santa Clara, California, United States ### [Director, Customer Excellence Product Marketing](https://jobs.opennash.com/companies/servicenow/jobs/6d348c4fce93f09a17f6/) Santa Clara, California, United States ### [Director, Data & Storage Reliability Engineering](https://jobs.opennash.com/companies/servicenow/jobs/cbd742a986dbb64f8e2a/) Santa Clara, California, United States ### [Director, GSOC Operations, Travel Risk & Access Management](https://jobs.opennash.com/companies/servicenow/jobs/4fe0444d8a3491aea38b/) Santa Clara, California, United States ## Similar jobs at other companies ### [Staff Cloud Security Engineer](https://jobs.opennash.com/companies/albertsons/jobs/395bf6f9560adb4a7fae/) Albertsons · Pleasanton, CA, United States ### [Staff Application Security Engineer – Threat Research](https://jobs.opennash.com/companies/cvs-health/jobs/0e09432f511614f17233/) CVS Health · New York, NY ### [Senior Staff Security Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/0e2fe90ccc0d8242e73f/) Qualcomm · San Diego, California, United States of America ### [Cyber Security Engineer Staff (Embedded)](https://jobs.opennash.com/companies/lockheed-martin/jobs/1e8e7e5895fbddfb01a3/) Lockheed Martin · Orlando, FL, Grand Prairie, TX ### [Staff Software Engineer (Agent Security)](https://jobs.opennash.com/companies/fortinet/jobs/ea061160c10b6d56746a/) Fortinet · Santa Clara, CA, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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