{"id":17067,"url":"https://alion.io/job/cerebras-principal-ai-security-engineer","title":"Principal AI Security Engineer","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":25,"ghost_share":0,"stale_share":0.76,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Security","role_family":"Security","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":173000,"max_usd":356000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":373},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Cerebras","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"GitOps","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-06-23T17:39:01Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-10-18T20:45:03Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":117},"description":"Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. \nThis order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\nCerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.\nAbout the Role\nCerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.\nIn this role, you will design and build security controls for systems that support training, inference, model serving, customer workloads, internal automation, and AI-assisted development. You will work across product, cloud, infrastructure, identity, runtime, data, and developer platforms to protect sensitive data, enterprise and customer environments, models, tools, agents, and control planes.\nThis is a principal IC role for someone who can turn ambiguous AI and platform security risks into practical architecture, reusable controls, and production-ready systems that teams can adopt by default.\nResponsibilities\nDefine security architecture and build controls for AI platforms, training and inference workflows, model-serving systems, customer workloads, developer workflows, and agentic\n\nDevelop reusable AI and agent security patterns for identity, authorization, delegated authority, scoped tool access, MCPs, connectors, secrets, approvals, isolation, auditability, and\n\nDesign runtime controls that constrain execution, access, data exposure, model and tool interaction, and blast radius.\n\nBuild security capabilities as code using infrastructure as code, configuration as code, policy as code, GitOps, CI/CD, and automated validation.\n\nDefine secure development patterns for AI systems, agents, prompts, tools, models, policies, evaluations, releases, and rollback.\n\nAutomate security reviews, policy checks, evidence collection, control validation, and remediation\n\nInstrument AI, agent, and platform activity with telemetry, traceability, policy decisions, audit logs, anomaly signals, and response workflows.\n\nLead hands-on security reviews and influence product, platform, infrastructure, and security architecture through practical design changes and reusable controls.\n\nSkills and Qualifications\n10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles.\n\nStrong hands-on engineering ability in Python and at least one additional production\n\nExperience designing, building, operating, and improving security controls as\n\nStrong cloud and infrastructure security experience, preferably with AWS, including IAM, networking, secrets management, logging, and cloud-native control planes.\n\nDeep understanding of identity and access systems, including SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, and least privilege.\n\nPractical experience securing runtime environments such as containers, Kubernetes, isolated workloads, secure development environments, distributed compute platforms, or production service infrastructure.\n\nFamiliarity with AI security, LLM application security, agentic workflows, MCPs, prompt injection, autonomous coding agents, or AI platform security.\n\nAbility to reason about cross-system risk involving identity, data, models, tools, networks, workflows, approvals, and automation.\n\nStrong written communication skills and the ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering.\n\nRelevant Experience\nWe do not expect every candidate to have worked across all of these areas, but we value depth in several:\nAI, ML, training, inference, model-serving, or large-scale compute\n\nCoding agents, agent platforms, MCP servers, internal developer platforms, or AI-assisted development environments.\n\nWorkload identity, secrets brokers, token brokers, short-lived credentials, privileged access, or zero-standing-privilege architectures.\n\nPolicy-as-code, authorization services, runtime enforcement layers, or security control\n\nSoftware delivery security, including source control, CI/CD, build systems, artifacts, provenance, signing, and release gates.\n\nDetection, investigation, and response workflows for cloud, infrastructure, identity, AI, or agent\n\nWhat Success Looks Like\nSuccess in this role means shaping how Cerebras secures the systems behind AI training, inference, model serving, customer workloads, and agentic automation. You will turn emerging AI and agent risks into reusable security architecture, safer identity and authorization models, scoped tool access, runtime containment, secure software delivery paths, automated policy validation, high-signal telemetry, and controls that engineering teams can adopt by default.\nWhy Join Cerebras\nPeople who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.\nThis website or its third-party tools process personal data. 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