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# Senior Technical Lead

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $78,000.0 - $148,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, BigQuery, Computer Programming, Continuous Integration, Python (Programming Language), Search Technologies, SQL Databases, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Git, Kubernetes, Api Design, Google Gemini, Restful APIs, Splunk, AIOps, Docker
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1a9ec989e2994fc2

## About the Role

* Looking for a Generative AI / Agentic AI Engineer with 6-8 years of overall experience, including strong hands-on experience in Google Gemini and Generative AI/LLM solutions.
 * Strong programming skills in Python, with experience developing AI applications, services, and REST API integrations.
 * Hands-on knowledge of Google Cloud Platform (GCP), Vertex AI, Gemini APIs/SDKs, and BigQuery/SQL.
 * Experience building AI Agents / Agentic AI workflows, including function/tool calling, multi-step reasoning, and API-based actions.
 * Good understanding of RAG, embeddings, vector search, prompt engineering, and LLM grounding techniques.
 * Experience applying AI for data analysis, anomaly detection, incident/root-cause analysis, recommendations, or automated remediation is preferred.
 * Knowledge of Git, CI/CD, Docker/Kubernetes, monitoring/observability, and enterprise data integration is desirable.
 * Strong analytical and problem-solving skills with experience taking GenAI solutions from prototype to production.

Primary/Mandatory: Gemini AI, Generative AI/LLMs, Python, GCP, Vertex AI, REST APIs, SQL/BigQuery, Agentic AI

Preferred/Optional: RAG, Vector DB/Search, MCP, Multi-Agent Systems, Splunk/Observability, Docker/Kubernetes, CI/CD, AIOps, * Looking for a Generative AI / Agentic AI Engineer with 6-8 years of overall experience, including strong hands-on experience in Google Gemini and Generative AI/LLM solutions.

 * Strong programming skills in Python, with experience developing AI applications, services, and REST API integrations.
 * Hands-on knowledge of Google Cloud Platform (GCP), Vertex AI, Gemini APIs/SDKs, and BigQuery/SQL.
 * Experience building AI Agents / Agentic AI workflows, including function/tool calling, multi-step reasoning, and API-based actions.
 * Good understanding of RAG, embeddings, vector search, prompt engineering, and LLM grounding techniques.
 * Experience applying AI for data analysis, anomaly detection, incident/root-cause analysis, recommendations, or automated remediation is preferred.
 * Knowledge of Git, CI/CD, Docker/Kubernetes, monitoring/observability, and enterprise data integration is desirable.
 * Strong analytical and problem-solving skills with experience taking GenAI solutions from prototype to production.

Primary/Mandatory: Gemini AI, Generative AI/LLMs, Python, GCP, Vertex AI, REST APIs, SQL/BigQuery, Agentic AI

Preferred/Optional: RAG, Vector DB/Search, MCP, Multi-Agent Systems, Splunk/Observability, Docker/Kubernetes, CI/CD, AIOps

Skill Requirements

Primary/Mandatory: Gemini AI, Generative AI/LLMs, Python, GCP, Vertex AI, REST APIs, SQL/BigQuery, Agentic AI

Preferred/Optional: RAG, Vector DB/Search, MCP, Multi-Agent Systems, Splunk/Observability, Docker/Kubernetes, CI/CD, AIOps

Must Have Skill

Gen AI,Agentic AI

## Description

Agentic AI / Data AI Engineer - Gemini