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Forward Deployed Engineer (FDE

Job in Lakewood, Ocean County, New Jersey, 08701, USA
Listing for: Trinity Technology Solutions LLC
Full Time position
Listed on 2026-08-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer (FDE)

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 strict corporate 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/No

    SQL databases, and ERP systems (SAP, Salesforce, etc.).
  • The "Grounding" Expert:
    Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and Big Query, 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, Type Script, REST/gRPC APIs. Data Architecture:
Big Query, Vector Search, AlloyDB, Apache Beam / Dataflow. Orchestration:
Agent Development Kit (ADK), Lang Graph-native patterns, Kubernetes (GKE) Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs

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