--- title: 'Staff Security Engineer – AI - R01573022 at Brillio' canonical: 'https://feeny.ai/job/staff-security-engineer-ai-r01573022-brillio-seattle-gm1wwxfyyt7t' type: 'job' last_seen: '2026-11-08' --- # Staff Security Engineer – AI - R01573022 at Brillio - **Company:** Brillio - **Location:** Seattle, WA - **Compensation:** $120k–$130k - **Work type:** onsite - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.lever.co/brillio-2/800b8f0d-9923-4a2c-965f-b2e1b94c39dd ## Job description 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 experience with Model Context Protocol (MCP) frameworks and autonomous multi-agent AI systems. - Strong understanding of AI-specific security and regulatory requirements, including: - Data residency and data localization requirements. - Data loss prevention and content protection controls for AI-generated outputs. - Permission boundaries and access restrictions for autonomous AI agents. - External OAuth authorization and access-scoping mechanisms. - Experience developing and implementing enterprise AI governance frameworks and AI enablement programs. - Background in designing and implementing AI platform security architectures. - Experience establishing security standards and governance models for enterprise-wide AI adoption. Know more about DI: https://www.brillio.com/services-digital-infrastructure/ Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/ ## Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. ## #LI-AY1 Know what it’s like to work and grow at Brillio: Click here ## About Brillio ## Company Overview - **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM. - **Entity Type**: Private (backed by Bain Capital Private Equity) - **Headquarters**: Dallas, Texas, United States - **Founded**: 2014 - **Founders**: Not publicly disclosed (CEO: Raj Mamodia) ## Core Business - **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering - **Target customers**: Fortune 1000 enterprises (B2B, Enterprise) - **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster. ## Products & Services - **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery. - **Business-led transformation**: Strategy consulting and business process modernization. - **Customer experience transformation**: Design, digital product engineering, and omnichannel experience. - **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows. - **Digital engineering**: Application modernization, platform engineering, cloud-native development. - **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability. ## Market Standing - **Valuation / Market Cap**: Not disclosed (privately held) - **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website. - **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA. - **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth). ## Competitive Advantages - **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems. - **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients. - **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users. - **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships. ## Strategic Focus - **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance. - **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current. - **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership. - **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics. ## Why Work Here - **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA. - **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams. - **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects. - **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries). - **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development. - **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped. ## Sources 1. [careers.brillio.com](https://careers.brillio.com/) 2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/) 3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio) 4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm) 5. 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