Gemini Enterprise App SME

Qualifications & Certifications:
    Bachelor’s degree in IT/ Engineering/MBA or other management qualification.
    GCP Cloud Architect Certification / GCP Devops / ML Engineer Architect Certification
    Terraform Associate
GCP Services-Focused Responsibilities
•    Excellent in providing L1,  L2 & L3 support for Gemini Enterprise App related issues.
•    Own the full ServiceNow ticket lifecycle including triage, categorization, prioritization, resolution, and closure with no internal L1/L2/L3 handoff beyond this pair.
•    Lead the architecture and rollout of Gemini Enterprise App for enterprise search, summarization, assistants, and agent-driven workflows across business functions.
•    Design and implement permissions-aware search and retrieval across structured and unstructured enterprise content.
•    Configure, manage & support prebuilt connectors for Google and third-party enterprise systems such as Confluence, Jira, SharePoint, ServiceNow, and other knowledge sources.
•    Build custom mcp server: Develop & Deploy for non-standard enterprise systems and APIs, including data ingestion, indexing, metadata handling, ACL mapping, and synchronization design. 
•    Assist, Guide, Create, troubleshoot operationalize no-code / low-code agents using Agent Designer, including single-step and multi-step workflows, orchestration, and recurring task automation.
•    Support onboarding and governance of Google-made, third-party, and internally built agents, including custom agents built by internal engineering teams.
•    Define and implement identity and access strategies using Google Identity and Workforce Identity Federation, including SSO, group/claim mapping, access-controlled data sources, and user authorization models.
•    Partner with IAM and security teams on OIDC/SAML federation, attribute mapping, group-based access, and SCIM-based provisioning where required.
•    Establish best practices for prompt design, grounding, response quality, evaluation, and responsible AI adoption across enterprise use cases
•    Work with business stakeholders to identify high-value use cases, prioritize rollout waves, and measure adoption, quality, and business impact.
•    Create architecture standards, implementation playbooks, and operational runbooks for support and scale.
•    Implement, Support GCP Model Armor to protect AI models and agents from adversarial threats, vulnerabilities, and misuse in production environments.  
•    Establish and refine generative AI evaluation frameworks to assess model performance, accuracy, bias, reliability, and alignment with business KPIs continuously.  
•    Define and implement comprehensive security strategies: enforce least privileged IAM, monitor agent activities, employ VPC Service Controls, and ensure data encryption and compliance with organizational policies.  
•    Must be proficient with Terraform, GITHUB Actions & in Python Language. 
•    Monitor and troubleshoot connectors health, performance, and security incidents using Google Cloud Operations and custom telemetry integrations.  
•    Document architecture designs, standard operating procedures, troubleshooting guides, and best practices for deploying and managing Gemini Enterprise in production.