Hiring: AI Infrastructure Architect Company: Okta Location: Bellevue, WA Job Posted Time: 2026-09-02 23:13:17 Employment Type: Full-time / Hybrid Target Skills & Keywords : A/B Testing, AWS, Auth0, Compliance, GCP, Helm, Infrastructure as Code, Kubernetes, LLM, MLOps, Make, Okta, Terraform, TestNG, containerd About the job Experience: •10+ years in infrastructure or software engineering, with ≥ 2 years building AI/ML systems Required Skills: •Lead AI enablement initiatives, including proof-of-concepts for emerging AI infrastructure technologies and integration approaches. •Collaborate cross-functionally with engineering, security, data science, and product teams to align AI platform architecture with business and security goals. •Architect scalable, resilient, and secure AI infrastructure that supports AI-powered tools and features across Okta’s Identity Platform. •Lead infrastructure decisions across AWS, GCP, or hybrid environments with a focus on secure identity data handling •Develop and maintain infrastructure-as-code frameworks (e.g., Terraform, Helm) to ensure consistent, reproducible deployment of AI services •Champion security and compliance by embedding data privacy and identity protection standards directly into the AI platform and infrastructure design. •Serve as the key advocate and strategist for AI-driven efficiency initiatives across infrastructure platform teams and pre-production systems. •Implement robust MLOps practices, such as model evaluation, rollback strategies, and A/B testing, to guarantee the reliability and governance of AI in production. Qualifications: •10+ years in infrastructure or software engineering, with ≥ 2 years building AI/ML systems •Exceptional systems level thinking and a track record in architecting and building enterprise grade infrastructure •Deep expertise in cloud platforms (AWS, GCP), distributed systems, and container orchestration (Kubernetes) •Expected to be very hands-on in order to create, review, and contribute large chunks of quality code •Proven hands-on experience in identity, security, fraud, or risk analytics domains. •Experience operationalizing large language models or foundation models in production environments. •Contributions to MLOps or infrastructure open-source projects. •Opportunity to lead infrastructure shaping AI systems that protect millions of identity transactions. •Be at the core of building efficient and AI powered enterprise grade solutions that touch internal and external customers alike. •The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!