Trinity Technology Solutions LLC
Forward Deployed Engineer
Skills
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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