Роль четко определена с акцентом на создание масштабируемых систем в модной области ИИ, а зарплата значительно выше рыночной, что делает эту вакансию привлекательной.
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Высокая зарплатаТрендовый доменЧеткие обязанностиГибридный формат
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Текст:
Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, GRC Platform (AI/GRC): Building data pipelines, integrations, policy-as-code systems, dashboards, and agentic workflows that automate governance, risk, and compliance across Anthropic’s technology stack with an accent on data integration, reliability, and continuous monitoring. Focus on designing high-stakes LLM workflows, solving disparate-schema and data-quality challenges, and operating systems used for audits and executive reporting.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.
Annual salary: $320,000–$405,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Design data pipelines that aggregate risk, control, and asset information across the technology stack.
Build integrations with cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems for automated evidence collection and continuous validation.
Translate policies and regulatory requirements into policy-as-code, automated checks, and continuous monitoring.
Design agentic workflows using Claude for evidence analysis, audit responses, and control monitoring.
Develop real-time dashboards and reporting for engineers, executives, and external auditors.
Own architecture, reliability, data integrity, and end-to-end delivery while partnering with Security, IT, Infrastructure, Privacy Engineering, Legal, Finance, and product engineering.
Requirements
8+ years of experience building backend systems, data pipelines, or internal platforms, ideally at a technical lead level.
Strong understanding of system integrations, data flows, schemas, data quality, and failure points.
Depth in integration engineering or data infrastructure, with working fluency in the other area.
Proficiency in Python, Go, or similar languages, plus production experience with AWS, GCP, or Azure and infrastructure-as-code.
Ability to own design, deployment, operations, reliability, and data integrity independently.
Experience building with LLMs as system components, including agentic workflows and output evaluation.
Nice to have
Experience with privacy engineering, data governance, fintech, healthcare, or trust and safety.
Production experience with LLM-based or agentic automation.
Familiarity with SOC 2, ISO 27001, HIPAA, FedRAMP, or GRC platforms such as ServiceNow, Vanta, Drata, or OneTrust.
Experience at high-growth startups.
Culture & Benefits
Collaborative work across research, engineering, policy, and business functions.
Flexible working hours and office collaboration.
Generous vacation and parental leave.
Competitive compensation and optional equity donation matching.
Visa sponsorship is available where feasible, with immigration lawyer support.
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