Senior Technical Lead
United States
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Job Description
Senior Technical Lead
Denver, Colorado

Job Summary

Agentic AI / Data AI Engineer – Gemini

  • 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

Key Responsibilities

Agentic AI / Data AI Engineer – Gemini

  • 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

Other Requirements
Maximum Salary (US):  148000
Minimum Salary (US):  78000
Apply now
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.