Python Engineering AI Lead - Assistant Vice President
Citi (company site, opens in a new tab)8+ yrsPune, ChennaiHybridDirect career pageEst. 30–50 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable AI agents and ELT/ETL processes using Python, PySpark, Databricks, Kafka, and microservices.
- Build and deploy generative AI agents with Google ADK and LLMs, including human-in-the-loop architectures.
- Develop data federation layers for lambda and Data Mesh architectures, automate microservice integrations on cloud-native infrastructure with CI/CD, and enhance efficiency using advanced prompt engineering with agentic AI tools.
Minimum Requirements
- 8+ years overall experience in large-scale application development with AI agent deployment platforms.
- 5+ years in Python and PySpark engineering lead role building enterprise-grade ELT/ETL processes using PySpark and Databricks ecosystem.
- Hands-on experience with AI agent development (YAML, JSON, FAST API, Google ADK, Devin.AI, Github Copilot) and microservice automation.
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees preferred.
Ideal Candidate Profile
- Experienced in enterprise data engineering with deep technical expertise in Python, PySpark, Databricks, and AI agent integration.
- Comfortable operating in complex, regulated environments such as banking retail products with strong governance and risk awareness.
- Capable of leading development of scalable AI and data platforms leveraging cloud-native architectures, Data Mesh, microservices, and advanced AI tools.