Technical specialist in R&D Customer Engineering focused on implementing AI governance solutions, including AI inventories, risk assessments, compliance workflows, model oversight, and responsible AI programs.
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Browse compliance, risk, assurance and responsible AI roles that help organizations deploy AI systems safely and accountably.
80 active roles found.
Technical specialist in R&D Customer Engineering focused on implementing AI governance solutions, including AI inventories, risk assessments, compliance workflows, model oversight, and responsible AI programs.
Senior customer-facing solutions architecture role leading AI governance initiatives, with responsibilities spanning AI risk management, responsible AI, compliance operations, and translating AI regulations into enterprise platform capabilities.
Senior compliance and AI governance generalist role focused on building policies, SOPs, monitoring, and regulatory workstreams across AI governance, privacy, trade, and corporate compliance.
Strategic communications role for Anthropic’s Safeguards team, centered on explaining AI product safety measures, managing crisis communications, and coordinating messaging across research, product, policy, and legal teams.
Senior security GRC role focused on AI agent governance, compliance frameworks, and risk controls for agent security and data handling.
Senior ML Engineer role on Experian’s AI Safety team focused on Responsible AI governance, safety evaluations, red-teaming, interpretability, model audits, and regulatory/compliance support for GenAI systems.
Senior consultant role defining Responsible AI governance, risk controls, explainability, AI security/red-teaming orchestration, and regulatory compliance for AI and GenAI systems.
Senior staff software engineering role on OneTrust's AI Governance Engineering team building platform capabilities for AI governance, compliance, safety, observability, controls, and agent runtime management.
Senior ML Engineer on Experian’s AI Safety team focused on Responsible AI governance, safety evaluations, red-teaming, interpretability, and model risk/regulatory review for GenAI systems.
Lead role focused on AI safety evaluation and security testing for LLMs and agentic AI systems, including red-teaming, prompt-injection testing, and AI governance/compliance documentation.
Regulatory operations role focused on AI governance, EU AI Act/DSA compliance, risk evaluations, escalations, and building operational workflows and tooling for user safety and regulatory compliance.
Lead role focused on AI safety evaluations and security testing for LLMs and agentic AI systems, including red-teaming, prompt injection testing, and producing governance/compliance evidence.
Senior compliance leadership role owning Anthropic's sanctions compliance program and supporting export controls, with explicit responsibility for risk governance, policy frameworks, remediation, and AI-related regulatory compliance.
Senior product management role owning multi-cloud model safeguards, fraud defenses, and compliance posture for Claude deployments across AWS, Google Cloud, and Microsoft.
Senior software engineering role on OpenAI's API Safety team building safety controls, observability, and safeguards for safe deployment of frontier models in the API.
Principal researcher role focused on AI risk management and NIST AI RMF adoption, including developing guidance, implementation profiles, and advising agencies on trustworthy AI practices.
Project manager role leading pilot audits for frontier AI systems, focused on building AI auditing methodologies, assessment tools, and industry standards for third-party safety and security audits.
Senior consultant role defining Responsible AI governance, risk classification, compliance controls, and AI security/red-teaming guardrails across the AI lifecycle.
IT Security role focused on AI governance, assessing AI products and use cases against regulations, internal requirements, and AI risk/compliance frameworks.
Senior privacy engineering role at Anthropic focused on building privacy-preserving systems for AI training and inference, translating AI/privacy regulations into technical controls, and conducting privacy reviews and threat modeling for new models and features.