Forward Deployed Engineer (FDE) – Gemini Enterprise | Agentic AI

Job Description: Forward Deployed Engineer (FDE) – Gemini Enterprise

Partner Resources - Gemini Enterprise (FDE Specific)

Project Brief

**$B! (J Project Description:**

The system utilizes specialized LLM agents and Gemini Enterprise solutions to perform automated enterprise data retrieval, multi-step logical reasoning, and knowledge synthesis leveraging tools like NotebookLM and the Google Workspace Ecosystem. The platform integrates robust enterprise security, Access Control Lists (ACLs), and Human-in-the-Loop (HITL) protocols to securely connect disparate data silos (including third-party platforms like Microsoft Entra ID/M365, Salesforce, and Atlassian) while upholding organizational safety, security, and precision standards.

**$B! (J Role:**

Forward Deployed Engineer (FDE) specializing in Gemini Enterprise, Agentic AI, and Multi-Agent Systems

Responsibilities

$B! (J Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise $B! (J Identify need for Pro Code Vs No Code design based on customer$B!G(Js problem statement and data sources $B! (J Design Deploy and custom agents using the Agent Development Kit (ADK), and Agent Platform AI Reasoning Engine and integrate with Gemini Enterprise $B! (J Build native integrations across the Google Workspace Ecosystem (Docs, Drive, Gmail, Calendar, Meet) and NotebookLM for grounded enterprise research, document automation, and conversational discovery. $B! (J Architect scalable short-term session storage, conversation state persistence, and long-term memory architectures across multi-agent interactions. $B! (J Implement end-to-end authentication and authorization perimeters for agents, Google Cloud services, and 3rd-party SaaS integrations (e.g., Microsoft Entra ID / M365, Salesforce, Atlassian) using IAM, OAuth 2.0, OIDC, and service identities. $B! (J Enforce fine-grained Access Control Lists (ACLs), user/group permission inheritance, and data governance policies to ensure agents strictly adhere to enterprise access boundaries. $B! (J Utilize developer tooling including Agent CLI and Antigravity for local rapid prototyping, testing, emulation, distributed tracing, and root cause analysis (RCA). $B! (J Architect Human-in-the-Loop (HITL) workflows, ensuring seamless Interrupt and Resume patterns between autonomous agents and human experts for critical decision points. $B! (J Build and maintain automated CI/CD pipelines (e.g., Cloud Build, GitHub Actions, GitLab CI) to manage versioned agent deployments, automated testing, and continuous regression evaluations. $B! (J Implement advanced reasoning patterns such as Chain-of-Thought (CoT), ReAct, Plan-and-Solve, and Self-Reflection to enhance agent reliability. $B! (J Establish quantitative evaluation frameworks to measure agent trajectories, tool invocation precision/recall, and reasoning faithfulness. $B! (J Collaborate directly with client engineering and architecture teams to deploy, validate, and operationalize enterprise agentic AI solutions in client environments.

Must-Have Skills

$B! (J Core Engineering & Frameworks: Strong proficiency in Python with production-level software engineering practices, along with deep, hands-on experience building multi-agent systems using Google ADK (Agent Development Kit) or comparable agentic frameworks. $B! (J Gemini & Workspace Ecosystem: Solid hands-on experience deploying and customizing Gemini Enterprise, NotebookLM, and integrating with the broader Google Workspace Ecosystem (APIs, Add-ons, Drive/Docs connectors). $B! (J Memory & State Architecture: Demonstrated expertise in managing agent session state, short-term context caching, and durable long-term memory backends (vector databases, relational/NoSQL session stores). $B! (J Third Party Tools: Experience with MCP Connectors to securely integrate core third-party platforms (e.g., iManage, NetDocuments, Relativity, DocuSign, MS Office Suite, Sharepoint, JIRA) with Gemini Enterprise. $B! (J Auth & Security: Strong understanding of authentication and authorization protocols (IAM, OAuth 2.0, OIDC, Service Accounts, Workload Identity Federation) across Google Cloud and 3rd-party SaaS platforms (Microsoft Entra ID, Salesforce, Atlassian). $B! (J ACLs & Permissions: Deep working knowledge of enterprise Access Control Lists (ACLs), identity federation, permission trimming, and role-based access control (RBAC) across heterogeneous data sources. $B! (…