We are looking for a Lead AI & Data Engineer to build enterprise cloud data platforms and generative AI solutions. You will lead the design of LLM pipelines, streaming data architectures, and automated AI workflows while mentoring engineers and managing key stakeholder relationships.

Key Responsibilities

- AI & LLM Solutions: Build production LLM pipelines, prompt engineering workflows, and autonomous AI agents using Snowflake Cortex, ChatGPT API, and n8n.
- Streaming & Data Pipelines: Architect real-time and micro-batch data pipelines using PySpark, Databricks, Spark, Kafka, and Delta Lake.
- Cloud & Data Platforms: Design scalable ELT models and infrastructure across Snowflake, AWS, Azure, and GCP using dbt, Snowpark, and Airflow.
- DevOps & Infrastructure: Automate deployments with Terraform, Docker, GitHub Actions, and Jenkins.




- Leadership: Lead cross-functional projects, conduct design and code reviews, mentor team members, and present technical solutions to clients and executives.

Qualifications

- Languages: Python, SQL, Shell Scripting.
- AI & Automation: Snowflake Cortex, ChatGPT API, Prompt Engineering, n8n Agent Orchestration.
- Data & Cloud: PySpark, Spark, Databricks, Kafka, Delta Lake, Snowflake, AWS, Azure Data Factory, GCP, dbt, Snowpark, Airflow.
- Platform & Tools: Terraform, Docker, CI/CD (GitHub Actions/Jenkins).
- Soft Skills: Technical mentorship, stakeholder management, and robust executive communication.

📌 Lead GENAI - Snowflake Data Engineer (India)
🏢 Virtusa
📍 India