Staff Software Engineer
We bring together the best of technology and our people to supercharge progress.
You will work with Gemini 3.0, Vertex AI, Python, Go, BigQuery, Kubernetes (GKE), and LangGraph to deploy production code integrating Gemini agents with legacy systems. As a Forward Deployed Engineer for the Gemini Enterprise team, you will architect multi-agent systems, build RAG pipelines, and ensure governance for clients.
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HCL is a $11 billion leading global technology enterprise consisting of over 200,000 professionals operating from 52 countries. Founded in 1976, HCL is one of India's original IT garage start-ups. For more on HCL, please visit www.hcl.com
Job Role -
Job Role : Forward Deployed Engineer (FDE), Gemini Enterprise
Work Location –London, England
Mode of Hiring- Permanent
Job Description-
Job Summary-
Job 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, Manufacturing / Technology) specific knowledge on Process Automation with Business & IT team stakeholders on Google Cloud AI Tech Stack.
It requires a solution oriented mindset to align with domain specific process to Identify Agenti 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