Description

Lead the architecture and engineering of large-scale Generative AI solutions, focusing on agentic frameworks and enterprise integration.

Responsibilities

• Architect and implement Generative AI solutions using LLMs, RAG, and agentic frameworks, integrating capabilities into existing enterprise systems.
• Build production-grade agentic solutions leveraging LangChain, LangGraph, and Google ADK, combining rapid composition with explicit state-machine orchestration.
• Engineer secure tool execution methods, ensuring best practices in service-to-service communication, least privilege, auditability, and enterprise standards.
• Develop lifecycle tools for evaluation metrics, quality monitoring, and drift detection to ensure operational hygiene and risk mitigation.
• Resolve complex technical challenges related to AI technologies, model behavior, and integration patterns while mentoring team members.

Required Skills

• 5+ years of experience designing and deploying large-scale Generative AI and agentic solutions.
• Strong expertise with LLMs, RAG, LangChain, and LangGraph.
• Hands-on experience with Google ADK and multi-agent orchestration frameworks.
• Solid understanding of secure API development, service-to-service communication, and enterprise security standards.
• Experience with AI lifecycle management, including evaluation, monitoring, and model drift detection.
• Ability to evaluate complex technical challenges and provide technical guidance.

Key Skills

Education

Any Gradute