Python Engineering AI Lead - Assistant Vice President
Citi (company site, opens in a new tab)8+ yrsChennai, PuneHybridDirect 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 high-volume ELT/ETL data pipelines using Python, PySpark, Databricks, Kafka, and microservices architecture.
- Build and deploy generative AI agents integrating Google ADK, Flash 2.5+ LLMs, and advanced prompt engineering tools (e.g., Devin.AI, Github Copilot) for application automation and workflow support.
- Develop and automate microservice integrations, data federation layers, and data mesh architectures on cloud-native infrastructure with Kubernetes/OpenShift and CI/CD pipelines.
Minimum Requirements
- 8+ years of large-scale application development experience with secure, scalable AI agent deployment.
- Minimum 5+ years in Python and PySpark engineering lead role focused on enterprise-grade ELT/ETL in Databricks ecosystem.
- Hands-on experience with agentic AI using YAML, JSON, FastAPI or Spring Boot, Google ADK, Devin.AI or Github Copilot, and MCP integration.
- Bachelor's degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
- Experienced in leading engineering for AI-enabled data pipelines and microservices in enterprise/financial services environments.
- Proficient with cloud-based big data platforms (e.g., Databricks, AWS, Azure, GCP) and container orchestration technologies (Kubernetes, Docker).
- Strong strategic understanding of data mesh, data federation, and integrating AI/ML use cases to improve business efficiency and compliance.