We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. 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Participate in incident management events, provide consultative recommendations for resolutions, lead post-incident reviews, and drive remediation and resilience improvements. Maintain collaborative and strategic partnerships among customers, vendors, business partners, and technology teams; work closely with vendor teams supporting Guidewire PolicyCenter to ensure adherence to engineering, coding, and platform standards; solve complex engineering challenges across implementation domains. Break down complex problems into practical, operational solutions; manage multiple projects simultaneously while maximizing impact. Mentor staff to develop technical engineering capabilities; serve as a role model within the tech community and lead through hands-on technical contributions. 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