Forward Deployed Engineer (FDE), Gemini Enterprise

Trinity Technology Solutions LLC; New Jersey; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Trinity Technology Solutions LLC seeks a hybrid Staff Software Engineer / Strategic Consultant to promote Agentic AI, applying domain knowledge in manufacturing and technology to automate processes with business and IT stakeholders on Google Cloud AI Tech Stack.

You will lead the deployment of Gemini Enterprise App and Gemini Enterprise Agent Platform in client environments, architecting multi-agent integrations while ensuring governance and data residency compliance.

Qualifications

• Experience building AI/ML platform stacks for enterprise environments.
• Ability to design multi-agent systems and agent orchestration patterns.
• Proven track record delivering production integrations with ERP/CRM systems.

Responsibilities

• Identify customer personas and craft Agentic intervention points and Day 1 use cases for Gemini Enterprise.
• Agentic Architecture: Design multi-agent systems using the ADK, implementing hierarchical delegation and self-reflection.
• Production Implementation: Write 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 pipelines ensuring zero-hallucination access to enterprise truths.
• Governance & Security: Deploy Agent Identity and Agent Gateway protocols for auditable, secure, compliant actions.
• Field-to-Product Loop: Collaborate with Google engineering to build reusable Skills and modules.

Skills

Python

Go

Java

TypeScript

Tools

Gemini 3.0

Gemini Enterprise Agent Platform

Agent Studio

Vertex AI

BigQuery

AlloyDB

Apache Beam/Dataflow

Kubernetes (GKE)

Job description

Contract

NJ& SFO,CA

The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. The role involves Consulting on promoting Agentic AI, using domain‑specific knowledge (FS / RCPG / LSH, Manufacturing / Technology) to automate processes with Business & IT team stakeholders on the Google Cloud AI Tech Stack. It requires a solution oriented mindset to align domain‑specific processes with identifying Agentic AI use cases that 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 strictcorporate governance.

Key Responsibilities

• Identify customer personas and craft 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