Description

You will lead the development and deployment of conversational AI and synthetic agents within Google Cloud environments.

Responsibilities

• Develop conversational AI and synthetic agents using GenAI orchestration tools.
• Design real-time, event-driven architectures using cloud-native technologies.
• Implement MLOps practices to ensure scalable AI deployment and monitoring.
• Apply Responsible AI (RAI) and regulatory governance standards within highly regulated frameworks.
• Optimize AI model deployment by balancing deterministic and probabilistic approaches for cost efficiency.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Hands-on expertise with LangGraph, LangChain, ReACT, and LLMs.
• Proven experience with Google Cloud Platform (GCP).
• Proficiency with Kafka and Pub/Sub for event-driven systems.
• Experience with Big Table and cloud-native architectures.
• Deep understanding of MLOps for scalable deployment.
• Knowledge of Responsible AI (RAI) and regulatory governance.
• Experience working in Fintech or other highly regulated industries.
• Degree in any graduate field.

Key Skills

Education

Any Gradute