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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

Trinity Technology Solutions LLC

Forward Deployed Engineer

Skills

Google Cloud PlatformSQL QueriesTypescriptPythonGolangJavaMachine LearningAIKubernetesSalesforceSAP ERPCorporate Governance

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

24 September 2026

What they need


Position : Forward Deployed Engineer

Location : India

J ob Title: Forward Deployed Engineer (FDE), Gemini Enterprise

The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. The role

involves Consulting on promoting Agentic AI with Domain(FS / RCPG / LSH, Manufaturing /

Technology) specific knowledge on Process Automation with Business & IT team

stakeholders on Google Cloud AI Tech Stack. It requires a solution oriented mindset to

allign with domain specific process to Identify Agentic AI use Cases to address customer

challenges and industry trends. You will be the technical lead responsible for deploying

Gemini Enterprise App and Gemini Enterprise Agent Platform within client environments.

You will architect and code the "connective tissue" that allows Gemini agents to reason

across private enterprise silos, execute long-running workflows, and adhere to strict

corporate governance.

Key Responsibilities

  • Identify customer Persona and craft out Agentic intervention points and Day 1 use cases

for Gemini Enterprise

  • Agentic Architecture: Design multi-agent systems using the Agent Development Kit (ADK),

implementing patterns like hierarchical delegation and self-reflection.

  • Production Implementation: Move beyond prototypes. You will write the production code

that integrates Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems

(SAP, Salesforce, etc.).

  • The "Grounding" Expert: Build and optimize RAG (Retrieval-Augmented Generation)

pipelines using Vertex AI Search and BigQuery, ensuring agents have "zero-hallucination"

access to enterprise truths.

  • Governance & Security: Deploy Agent Identity and Agent Gateway protocols to ensure

every AI action is auditable, secure, and compliant with regional data residency laws.

  • Field-to-Product Loop: Act as the "eyes and ears" for Google’s core engineering. Identify

common friction points in the Agent Platform and collaborate with product teams to build

reusable "Skills" and modules.

Technical Requirements

Domain Stack Expertise

AI/ML Platform Gemini 3.0, Gemini Enterprise Agent Platform, Agent Studio, Vertex AI

Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs

Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow

Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE)

Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs

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