Python Engineering AI Lead - Assistant Vice president
CitiMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable, enterprise-grade AI agents and ELT/ETL pipelines using Python, PySpark, Kafka, Databricks, and microservices architectures.
Build and deploy Generative AI Agents with Google ADK and LLMs integrating Human-in-Loop workflows, ensuring secure and scalable AI deployments.
Develop and automate microservice integrations with cloud-native infrastructure including Kubernetes/OpenShift and CI/CD pipelines, maintaining data federation layers aligned with Data Mesh architecture.
Minimum Requirements
8+ years overall experience in large-scale application development with AI agent deployment platforms.
5+ years proven experience as Python and PySpark Engineering lead building enterprise-grade ELT/ETL pipelines using Databricks ecosystem.
Hands-on experience with agentic AI development (YAML, JSON, FAST API, Google ADK, Devin.AI, Github Copilot) and advanced prompt engineering.
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree is a plus.
Ideal Candidate Profile
Experienced in leading development of scalable AI-powered data platforms in enterprise environments, especially with retail/wealth banking context preferred but not mandatory.
Proficient in integrating AI agents and microservices using cloud-native and containerization technologies (Kubernetes/OpenShift), with strong operational ownership.
Strong expertise in Data Mesh, data federation, and deploying AI/ML solutions in production at scale with emphasis on secure, compliant environments.