Python Engineering AI Lead - Assistant Vice President
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Job Description
Structured overview of role & requirementsAbout 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.