Lead Engineer / Solution SME

Shrive Technologies Llc

United States

2 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Software as a Service Cloud Computing Cloud Computing Security Cloud Engineering Continuous Integration Monitoring of Systems Identity and Access Management Routing Network Segmentation

+18 more

OAuth Queue Management Systems Prometheus Security Assertion Markup Language (SAML) Software Deployment Systems Integration Enterprise Search Data Logging Google Cloud Cloud Monitoring Spring Cloud System Availability Large Language Models Low-code Enterprise Integration Gsuite Terraform Servicenow

Requirements

Key Responsibilities: Gemini Enterprise App SME We are looking for a hands-on Lead Engineer / Solution SME to support, implement, and scale Google Gemini Enterprise App across the enterprise. This role will own supporting L1,L2 & L3 issues related enterprise search and summarization, low-code/no-code agents, connectors 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 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, prioritization, SLA/OLA concepts, 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 Armor 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.