Gemini Enterprise App SME- W2 Only

Hi

I hope you are doing well.

We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested.

Job Role: Gemini Enterprise App SME

Location: Remote, USA

Visa: USC/GC - W2 only

Job Description:

Key Responsibilities: Gemini Enterprise App SME We are looking for a hands-on lead engineer / solution SME to support, implement, and scale the Google Gemini Enterprise app across the enterprise. This role will own supporting L1, L2 & L3 issues related to enterprise search and summarisation, low-code/no-code agents, connector onboarding, identity and access, custom MCP server, integration & deployment, and AI security guardrails. The person will work closely with business, security, IAM, data, and application teams to deliver a secure, permissions-aware, production-ready Gemini Enterprise App.

8+ years of experience in cloud architecture, enterprise integration, platform engineering, or solution architecture.

ITSM fundamentals: incident vs. service request, prioritisation, SLA/OLA concepts, and ticket hygiene.

ServiceNow proficiency: queue management, routing, and knowledge-base use.

Vendor and stakeholder management (Google Cloud Customer Care/TAM, customer executives, HCLTech delivery leadership).

Strong experience with Google Cloud Platform services, especially IAM, APIs, security, and application integration.

2+ years of hands-on experience in GenAI / LLM / RAG / enterprise search implementations. Strong understanding of identity management integration strategies for cloud-native applications, including Google Workspace, OAuth, and SAML.

Expertise in deploying and managing AI security tools, especially Google's Model Armour for protecting generative AI models.

Experience configuring third-party API connectors and integrating diverse SaaS or on-premises applications with AI agents.

Proficiency in AI/ML evaluation methodologies testing model fairness, accuracy, robustness, and continuous monitoring.

Strong infrastructure-as-code (Terraform) and CI/CD skills for automated, repeatable deployments. Knowledge of cloud security best practices, network segmentation, IAM policies, and compliance frameworks relevant to AI and data-intensive systems.

Experience with monitoring tools like Cloud Monitoring, Cloud Logging, Prometheus, and custom telemetry to ensure high availability and security posture.