Description

Lead the design and delivery of enterprise-scale AI solutions on Google Cloud Platform (GCP). Architect secure, scalable platforms for Generative AI, Agentic AI, and classical Machine Learning.

Responsibilities

• Define reference architectures and manage the model and pipeline lifecycle for LLMs and agent workflows.
• Build LangGraph or LangChain workflows for multi-step planning, orchestration, and safe execution.
• Develop ML/DL solutions including NLP, vector search, embeddings, and RAG pipelines.
• Architect and deploy solutions using GCP services: Vertex AI, BigQuery, Dataflow, Pub/Sub, and IAM.
• Establish MLOps and LLMOps practices, including CI/CD, monitoring, and security governance.

Required Skills

• 10+ years of experience in software architecture, with strong expertise in Generative AI and Agentic AI.
• Hands-on experience with LLMs, LangGraph, and LangChain.
• Proficiency in Python for frameworks, packaging, and testing.
• Experience with Java (Spring Boot) for model APIs and microservices.
• Extensive experience with Google Cloud Platform (GCP) and Vertex AI.
• Strong understanding of MLOps and LLMOps practices.
• Background in classical Machine Learning and Deep Learning.

Preferred Skills

• Experience with multi-agent architectures.
• Understanding of enterprise governance, compliance, and risk management.

Key Skills

Education

Any Graduate