{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/google-vertex-ai"},"x-facet":{"type":"skill","slug":"google-vertex-ai","display":"Google Vertex Ai","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6611499-8b7"},"title":"AI Identity Architect","description":"<p>Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI.\\n\\nOkta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.\\n\\nThis work requires a relentless drive to solve complex challenges with real-world stakes.\\n\\nWe are looking for builders and owners who operate with speed and urgency and execute with excellence.\\n\\nThis is an opportunity to do career-defining work.\\n\\nWe&#39;re all in on this mission.\\n\\nIf you are too, let&#39;s talk.\\n\\nThe Identity Team\\n\\nThe Identity team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution through identifying and resolving risks to the employees, product, and most importantly, our customers.\\n\\nWith the ever-increasing pace of cloud application adoption, companies are struggling to find ways to accurately assess risk and act at the speed of their business.\\n\\nThe AI Identity Architect Opportunity\\n\\nReporting to the VP of Identity &amp; Access Management, this role will be an AI Identity Pioneer, not just an IAM expert.\\n\\nYour &quot;been there, done that&quot; experience in securing autonomous agents at scale is your superpower.\\n\\nYou’ve seen how traditional OAuth flows break under agentic pressure, you’ve felt the pain of &quot;Secret Zero&quot; in a LangChain loop, and you know exactly where the industry’s current tools fall short.\\n\\nAt Okta, you won&#39;t just implement security; you will use your battle-tested experience to drive the product features needed to secure the next generation of identities.\\n\\nThe AI Identity Architect&#39;s mission is to own Okta’s enterprise identity strategy for autonomous AI agents.\\n\\nAs Customer Zero, you will implement Okta on Okta,validating identity patterns at production scale, feeding direct input into product roadmaps, and partnering with business units building internal agentic systems.\\n\\nWhat you’ll be doing\\n\\nProduct Vision &amp; Architecture (The &quot;Ratified R0&quot;)\\n\\nDrive the Roadmap: Act as a primary stakeholder for Okta’s product teams.\\n\\nTranslate your real-world experience securing agents into prioritized feature requests and product requirements.\\n\\nTarget State: Define a multi-year roadmap for Non-Human Identities (NHIs) and AI Agents aligned with Zero Trust (NIST 800-207) and Okta’s Secure Identity Commitment.\\n\\nPosture First: Use ISPM (Identity Security Posture Management) to discover unmanaged AI agents and eliminate &quot;Identity Debt&quot; across the enterprise.\\n\\nCross-App Access &amp; Brokered Delegation\\n\\nAgent-to-App Connectivity: Architect secure Cross-App Access patterns where agents act as intermediaries between enterprise systems.\\n\\nDelegated Authority: Refine how user identity is &quot;brokered&quot; to an agent (e.g. OAuth2 Token Exchange), ensuring the agent never has more power than the human user who triggered it.\\n\\nSession Scoping: Implement context-bound, short-lived tokens to prevent lateral movement by a compromised agent.\\n\\nOkta Customer Zero -- Validate and publish patterns using Okta primitives to secure the AI lifecycle for:\\n\\nOkta Identity Engine &amp; Auth0: Define how AI agents prove their identity within AuthN/AuthZ core concepts, implementing rigorous protocols for secure access delegation like OAuth2/OIDC, mTLS, and SPIFFE/SPIRE for workload attestation.\\n\\nOkta Privilege Access: Implement JIT/JEA access and ephemeral, vaulted secrets for agent tool-use.\\n\\nOkta Identity Governance &amp; Workflows: Automate the Joiner-Mover-Leaver (JML) lifecycle for agents, including automated certification and revocation.\\n\\nFine-Grained Authorization: Implement ReBAC for intent-bound decisions (e.g., &quot;Can this agent access the Finance API on behalf of the CFO?&quot;).\\n\\nServe as &quot;Customer Zero&quot; by architecting and stress-testing internal AI security frameworks, translating real-world deployment lessons into a continuous stream of public-facing white papers, blogs, and technical guides to steer industry best practices.\\n\\nAI Ecosystem &amp; Tech Stack Integration\\n\\nDefine how Okta identity is woven into modern AI orchestration layers:\\n\\nOrchestration: Secure identity patterns such as LangChain, LangGraph, AutoGPT, CrewAI, LlamaIndex, and Semantic Kernel.\\n\\nArchitect secure connectivity to AI model providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, and Anthropic.\\n\\nWhat you’ll bring to the role\\n\\nThe &quot;Been There&quot; Factor: Proven track record of securing AI agents and non-human identities in a production environment.\\n\\nExperience: 7+ years in IAM/Security Architecture; proven strategy work across workforce, customer, and Non-Human Identities (NHIs).\\n\\nDeep knowledge of the core protocols OAuth2/OIDC (especially Token Exchange), SAML, mTLS, JWT, and Model Context Protocol (MCP).\\n\\nHands-on experience with Modern Identity framework SPIFFE/SPIRE.\\n\\nAbility to author Architecture Decision Records (ADR) and influence at the VP/CTO level, while simultaneously acting as a peer to Product Management.\\n\\nAnd extra credit if you have experience in any of the following!\\n\\nPrior work shaping identity strategy for autonomous/agent systems, multi-agent delegation, or brokered access patterns.\\n\\nExposure to policy-as-code (OPA/Cedar) and service-mesh identity.\\n\\nCertifications such as CISSP-ISSAP, CCSP, or TOGAF are welcome but not required or expected.\\n\\n#LI-SM1 #LI-Hybrid P21621_3398002</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b6611499-8b7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7749222","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$242,000-$332,000 USD","x-skills-required":["OAuth2/OIDC","SAML","mTLS","JWT","Model Context Protocol (MCP)","SPIFFE/SPIRE","Architecture Decision Records (ADR)","Policy-as-code (OPA/Cedar)","Service-mesh identity"],"x-skills-preferred":["LangChain","LangGraph","AutoGPT","CrewAI","LlamaIndex","Semantic Kernel","Azure OpenAI","AWS Bedrock","Google Vertex AI","OpenAI API","Anthropic"],"datePosted":"2026-04-18T15:57:24.671Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"OAuth2/OIDC, SAML, mTLS, JWT, Model Context Protocol (MCP), SPIFFE/SPIRE, Architecture Decision Records (ADR), Policy-as-code (OPA/Cedar), Service-mesh identity, LangChain, LangGraph, AutoGPT, CrewAI, LlamaIndex, Semantic Kernel, Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":242000,"maxValue":332000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d7232ae-f49"},"title":"FBS Operations Analyst III","description":"<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. 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Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>CX Operations</li>\n<li>Audit &amp; Governance</li>\n<li>Data Analysis</li>\n<li>Insights &amp; Predictive Analytics</li>\n<li>Root Cause Analysis</li>\n<li>Digital recommendations</li>\n<li>Competitive Analysis</li>\n<li>Personalization</li>\n<li>Agile framework</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits package:</li>\n</ul>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p>Note: Benefits differ based on employee level.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6d7232ae-f49","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/de1cZSoSoi8aHVV3fzA2Kq/hybrid-fbs-operations-analyst-iii-in-hyderabad-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI/ML-driven platforms","Analytics tools","GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Tableau","Microsoft Excel","Microsoft Office","Qualtrics","Fullstory","Mixpanel","A/B Testing tools","Jira","Rally","Contact center and CMS tools","Power BI"],"x-skills-preferred":["Azure ML","AWS SageMaker","Google Vertex AI","LLM-based experience analysis tools","NLP","AI-powered text analytics","Conversational AI systems","Excel","Microsoft 365"],"datePosted":"2026-03-09T17:01:14.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"AI/ML-driven platforms, Analytics tools, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Tableau, Microsoft Excel, Microsoft Office, Qualtrics, Fullstory, Mixpanel, A/B Testing tools, Jira, Rally, Contact center and CMS tools, Power BI, Azure ML, AWS SageMaker, Google Vertex AI, LLM-based experience analysis tools, NLP, AI-powered text analytics, Conversational AI systems, Excel, Microsoft 365"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b299ab2-218"},"title":"FBS Senior Operations Analyst","description":"<p><strong>Job Description</strong></p>\n<p>As a FBS Senior Operations Analyst at Capgemini, you will play a key role in driving the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Role Description</strong></p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p><strong>Experience &amp; Education Requirements</strong></p>\n<ul>\n<li>Overall experience &gt; 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p><strong>Other Critical Skills</strong></p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.</li>\n<li>Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.</li>\n<li>Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.</li>\n</ul>\n<p><strong>Software / Tool Skills</strong></p>\n<ul>\n<li>Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).</li>\n<li>Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.</li>\n<li>Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.</li>\n<li>Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.</li>\n<li>Good proficiency or practical experience of A/B Testing tools.</li>\n<li>Agile tools such as Jira, Rally etc.</li>\n<li>Understanding of Contact center and CMS tools.</li>\n<li>Excel - Intermediate/Advanced. 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