: Forward Deployed Engineer (FDE) –

Gemini Enterprise

Partner Resources - Gemini Enterprise (FDE Specific)

Project Brief

● 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.

● Role:

Forward Deployed Engineer (FDE) specializing in Gemini Enterprise, Agentic AI, and

Multi-Agent Systems

Responsibilities

● Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise

● Identify need for Pro Code Vs No Code design based on customer's problem statement and data sources

● Design Deploy and custom agents using the Agent Development Kit (ADK), and Agent

Platform AI Reasoning Engine and integrate with Gemini Enterprise

● Build native integrations across the Google Workspace Ecosystem (Docs, Drive, Gmail,

Calendar, Meet) and NotebookLM for grounded enterprise research, document automation, and conversational discovery.

● Architect scalable short-term session storage, conversation state persistence, and long-

term memory architectures across multi-agent interactions.

● 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.

● Enforce fine-grained Access Control Lists (ACLs), user/group permission inheritance,

and data governance policies to ensure agents strictly adhere to enterprise access boundaries.

● Utilize developer tooling including Agent CLI and Antigravity for local rapid prototyping,

testing, emulation, distributed tracing, and root cause analysis (RCA).





● Architect Human-in-the-Loop (HITL) workflows, ensuring seamless Interrupt and

Resume patterns between autonomous agents and human experts for critical decision points.

● 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.

● Implement advanced reasoning patterns such as Chain-of-Thought (CoT), ReAct, Plan-

and-Solve, and Self-Reflection to enhance agent reliability.

● Establish quantitative evaluation frameworks to measure agent trajectories, tool invocation precision/recall, and reasoning faithfulness.

● Collaborate directly with client engineering and architecture teams to deploy, validate,

and operationalize enterprise agentic AI solutions in client environments.

Must-Have Skills

● 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.

● 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).

● 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).

● 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.

● 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).

● 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.

● Developer Tooling: Proficiency in developer tooling such as Agent CLI and Antigravity for local simulation, debugging, prompt engineering, and execution graph tracing.

● CI/CD &

- DevOps: Proven track record of configuring and maintaining automated CI/CD pipelines (Cloud Build, GitHub Actions) for agent containerization, deployment, and test automation.

● Evaluation &

- Debugging: Practical knowledge of AI evaluation methodologies, trajectory analysis, and performing root cause analysis (RCA) on agent execution failures, tool errors, and prompt regressions.

● Client Collaboration: Solid technical communication, consulting acumen, and client-

facing collaboration skills within an Agile environment.

Good-to-Have Skills

● Experience with inter-agent communication protocols such as Model Context Protocol

(MCP) and Agent-to-Agent (A2A) architectures.

● Experience integrating agents with Enterprise Knowledge Graphs, structured ontologies,

and hybrid vector search systems.

● Experience with enterprise data security frameworks such as Sensitive Data Protection

(SDP/DLP) and VPC Service Controls (VPC-SC).

Qualifications and Prior Experience

● 4 to 6+ years of experience in software development, cloud solution architecture, and AI engineering (preferably on Google Cloud Platform).

● Proven track record of designing, building, and deploying production AI agents or enterprise GenAI solutions using ADK, Vertex AI, or Gemini.

● Hands-on experience in customer-facing technical delivery, solutions engineering, or forward-deployed engineering (FDE) roles.

● Familiarity with enterprise Agile development lifecycles, sprint delivery, and stakeholder management.

📌 Partner Resources - Gemini Enterprise (FDE Specific) (India)
🏢 Trigent Software
📍 India