{"id":557538,"url":"https://alion.io/job/servicenow-senior-staff-ai-security-engineer-2","title":"Senior Staff AI Security Engineer","company":{"id":97,"name":"ServiceNow","domain":"servicenow.com","url":"https://alion.io/company/servicenow","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":81,"open_postings":36,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Security","role_family":"Security","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190900,"max":334100,"currency":"USD","period":"year","gross":null,"usd_annual":334100},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false},{"name":"TensorFlow","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-09-08T23:30:52Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-03T18:19:49Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.\nJoin us to put AI to work for people.\nTeam Overview\nPlatform 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.\nRole Summary\nAs 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.\nWhat You Get to Do in This Role\nDesign 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.\nBuild inference engines and reasoning systems: Architect high-performance inference pipelines and contextual reasoning systems that apply models in real-time across distributed security decisions.\nIntegrate AI into access control and identity: Apply machine learning to access control decisions-contextual analysis, adaptive authentication, behavioral biometrics, and identity confidence scoring.\nDevelop 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.\nImplement sensitive data detection and classification: Design AI systems for PII detection, data classification, and sensitive information governance at scale.\nLead complex technical initiatives: Provide technical leadership for multi-quarter efforts that combine ML research, systems engineering, and security domain expertise.\nArchitect modular, reusable ML systems: Build ML platforms, feature engineering frameworks, and model management infrastructure that teams can adopt and extend.\nOperate production AI systems: Design for observability, model performance monitoring, retraining workflows, and safe model deployment in security-critical environments.\nCollaborate across security and infrastructure: Work with teams across identity, access control, threat detection, and infrastructure to integrate AI solutions end-to-end.\nResearch 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.\nTo be successful in this role you have:\nCore Experience\nBachelor'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.\nHands-on experience implementing machine learning algorithms from scratch-not just using libraries, but understanding how models work at a fundamental level.\nDeep programming expertise in Java and/or Python, including systems-level knowledge and performance optimization.\nProven track record building and deploying machine learning systems in production environments at significant scale.\nStrong fundamentals in computer science: algorithms, data structures, complexity analysis, system design, and distributed systems.\nAI/ML Systems Expertise\nDeep understanding of machine learning fundamentals: supervised learning, unsupervised learning, model evaluation, feature engineering, and model selection.\nHands-on experience with neural networks, deep learning frameworks (TensorFlow, PyTorch), and modern model architectures.\nExperience training, tuning, and deploying models: hyperparameter optimization, regularization, preventing overfitting, and achieving production-grade model quality.\nUnderstanding of model inference: latency optimization, quantization, model serving infrastructure, and real-time prediction pipelines.\nExperience 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.\nKnowledge of reasoning and agentic systems: how to apply contextual analysis, multi-step reasoning, and decision logic on top of models.\nExperience with feature engineering, feature stores, and ML data pipelines at scale.\nFamiliarity with model observability and monitoring: detecting model drift, performance degradation, and retraining strategies.\nSecurity Architecture Expertise\nDeep knowledge of identity and access control systems: how authentication, authorization, and access decisions flow through enterprise systems.\nExperience applying machine learning to security problems: anomaly detection, attack classification, risk scoring, and threat pattern recognition.\nUnderstanding of sensitive data landscapes: PII detection, data classification frameworks, and data governance strategies.\nFamiliarity with security operations: how detection systems, alert triage, and incident response workflows operate at scale.\nKnowledge of common attack patterns and threat models relevant to enterprise security.\nExperience integrating security solutions with platform infrastructure: API design, event streaming, and decision-making in critical paths.\nNice to Have\nExperience with Kafka, stream processing, or real-time data systems for security applications.\nHands-on work with cryptography, zero-trust architectures, or OAuth/mTLS.\nExperience deploying models in regulated environments with compliance and governance requirements.\nTrack record mentoring junior engineers and driving technical excellence across teams.\nOpen-source contributions to ML or security projects.\nFor 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.\n Work Personas\nWe approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.\nEqual Opportunity Employer\nServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.\nAccommodations\nWe strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact  for assistance.\nExport Control Regulations\nFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.\nFrom Fortune. ©2026 Fortune Media IP Limited. All rights reserved. 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