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Niche GRC+AI automation skillset with metro location and mid-senior level yields medium competition.
Role requires domain-specific GRC, audit, and security engineering experience, so industry transferability is low.
Explicit 6+ years, mandatory GRC frameworks, hands-on coding and tooling integrations make screening highly strict.
Lead design and implementation of automated compliance testing and continuous evidence collection pipelines across cloud and internal systems.
Own and integrate GRC platforms (e.g., Drata) with custom API connectors and workflow automations to reduce manual effort and keep compliance data current.
Develop, deploy, and govern AI-native GRC workflows and agentic systems, defining compliance policies and controls for AI deployment before audit requirements emerge.
6+ years in GRC, information security, risk management, or IT audit, preferably in SaaS or cloud-native environments.
Proficient with security frameworks: SOC 2, ISO 27001, NIST CSF 2.0, CIS Controls; working knowledge of ISO 42001 and NIST AI RMF.
Hands-on experience with GRC platforms (Drata, Vanta, AuditBoard, ServiceNow GRC) and cloud environments (AWS, Azure, GCP) including their compliance tooling (CSPM, SIEM, identity platforms).
Strong coding skills (Python or equivalent) for building integrations and automation pipelines; demonstrated professional AI/LLM tool use for workflow automation.
Experienced in engineering scalable GRC automation combining security engineering and compliance operations, with ownership of both policy and technical implementation.
Practitioner of AI-native workflows using LLMs and agents with sound judgment on risk and human oversight needs in compliance scenarios.
Strategic thinker who builds policy-as-code and governance architectures for cutting-edge AI/agentic systems, anticipating future regulatory requirements.