# Staff Security Engineer – AI - R01573022 Source: https://realanalystjobs.com/job/staff-security-engineer-ai-r01573022-brillio-bda108c9 Staff Security Engineer – AI - R01573022 at Brillio, an on-site role based in Seattle, Washington, USA. Experience level: 7+ Years. Pay stated in the posting: USD 120,000 to 130,000 per year. Posted on 26 October 2026, read from Brillio's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes. Brillio has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Brillio](https://realanalystjobs.com/companies/brillio) - Location: Seattle, Washington, USA - Work mode: On-site - Pay stated in the posting: USD 120,000 to 130,000 per year - Posted: Oct 26, 2026 - Employment type: Full time - Experience level: 7+ Years - Source: Brillio's careers page (Lever), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS ## Visa sponsorship The posting does not say. Brillio had H-1B petitions approved for 165 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/brillio#h1b-record) ## About this role About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Staff Security Engineer - AI Primary Skills • SAP GRC, Nessus, Information Security & Cybersecurity, Cloud Security, Archer, Metasploit, Wireshark, Burpsuite, AWS Secrets Manager, Nmap, PaaS - Security, CxSAST, Web Application Scanning (WAS), ServiceNow GRC, AppScan Job requirements • We are looking for an experienced AI Security Engineer who can drive AI and LLM security initiatives, establish security standards, and implement robust technical controls across AI/ML platforms, agentic AI systems, and enterprise AI applications. This role combines strategic security leadership, hands-on engineering, AI infrastructure protection, and automation. The individual will work closely with AI platform, engineering, and security teams to define security roadmaps, mitigate emerging AI threats, and establish secure-by-design practices across the AI development lifecycle. Key Responsibilities This role will focus on AI security strategy, engineering, governance, and automation. • AI Security Strategy and Roadmap: Define and drive the long-term AI and Agentic AI security roadmap, including security architecture, technical standards, and implementation strategies in collaboration with AI platform and engineering teams. • AI Infrastructure Security: Design and implement technical security controls to protect AI environments, including autonomous agent permissions, blast radius management, and advanced prompt injection detection. • Model Context Protocol (MCP) Security: Establish centralized security standards for Model Context Protocol (MCP) implementations and oversee secure, resilient MCP hosting infrastructure supporting autonomous AI agents. • AI Red Teaming and Adversarial Testing: Conduct adversarial security assessments and AI red teaming exercises across machine learning systems to identify vulnerabilities related to model manipulation, data extraction, and unauthorized access. • Threat Modeling and Architecture Reviews: Lead threat modeling initiatives and security architecture assessments for emerging AI capabilities, Retrieval-Augmented Generation (RAG) pipelines, autonomous workflows, and AI-powered applications. • Third-Party AI Security Assessments: Evaluate the security posture, privacy controls, data handling practices, and retention policies of third-party foundation models, AI platforms, and vector databases. • AI Risk Assessment and Compliance: Serve as a technical advisor for AI tooling evaluations and data classification initiatives. Develop standardized security assessment frameworks to ensure consistent risk management and compliance. • AI Security Governance: Establish and scale AI security governance frameworks, technical policies, and organizational standards to promote secure and responsible AI engineering practices. • Security Enablement: Develop and communicate practical AI security guidelines, helping engineering teams, business stakeholders, and leadership safely adopt and leverage AI technologies. • LLM Security and Runtime Protection: Architect, deploy, and automate real-time security controls for LLM inputs and outputs, including prompt injection prevention, jailbreak detection, and AI response validation. Required Qualifications and Skills • 7+ years of experience in information security, cybersecurity, or security engineering, including at least 2+ years focused on AI/ML security or Large Language Model (LLM) application security. • Strong understanding of AI/ML technologies, including: • Transformer architectures • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • Prompt Engineering • Agentic AI and autonomous AI workflows • OWASP Top 10 for LLM Applications • Deep technical expertise in cloud security, particularly AWS and GCP, including IAM, containerization, Kubernetes, and DevSecOps methodologies. • Hands-on experience with AI/ML security architectures, production AI deployments, and securing the end-to-end AI development lifecycle. • Strong knowledge of AI-specific security threats, including: • Prompt Injection • Jailbreak Attacks • Model Poisoning • Model Manipulation • Sensitive Data Exposure and Data Extraction • Experience implementing threat detection, security architecture controls, and automated security mechanisms for AI/ML environments. • Proficiency in Python or Go, with experience developing production-grade integrations, security automation tools, and security pipelines. • Experience assessing third-party AI platforms, foundation models, and AI technology supply chains. • Working knowledge of AI governance frameworks, emerging regulatory requirements, data privacy, and Responsible AI principles. • Strong analytical and problem-solving skills, with the ability to proactively identify and address security gaps across complex AI/ML workflows. • Excellent communication and stakeholder management skills, with the ability to translate emerging AI security risks into actionable technical roadmaps and business impact for executive leadership. Preferred Qualifications • Hands-on ex Description from Brillio's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/staff-security-engineer-ai-r01573022-brillio-bda108c9) and use Apply now there to reach the employer's application. The listing is re-checked against Brillio's careers page daily and removed when it closes. ## Brillio 27 open analyst roles on Real Analyst Jobs. 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