Role Description

GenAI Architect with Skills in Agentic AI GCP

- At least 9-12 years overall experience including PythonArtificial Intelligence Machine Learning Deep Learning Agentic AI
- Indepth understanding of Agentic AI concepts
- Experience in creating agents using Lang GraphCrewai Lang Chain Llama Index Autogen MCP
- Experience designing endtoend customer facing production grade AI GenAI applications considering scalability reliability and security
- Adept in identifying technical hurdles and bottlenecks identifying and implementing wayouts and solutions and discussing technical implementation options with customers
- Experience working extensively with large language models LLMs to build innovative AI solutions
- Adept at using Prompt Engineering and Retrieval Augmented Generation using Vertex AI Search and vector retrieval vector databases FAISS Pinecone Chroma




- Knowledge of Dataflow PubSub Cloud Run Cloud Functions and Cloud Storage
- Knowledge of Responsible AI security networking Entra ID Key Vault and enterprise governance
- Deploy productiongrade AI platforms on Google Cloud infrastructure
- Design and deploy AI solutions on GCP
- Collaborate with crossfunctional teams to integrate AI capabilities into products and services
- Valuable communication skills
- Implement AI governance observability guardrails and cost optimization for GenAI workloads
- Handson experience with
- Vertex AI
- Vertex AI Agent Builder
- Vertex AI Search
- Gemini Models
- BigQuery
- Google Kubernetes Engine GKE

Preferred Certifications

- Google Professional Cloud Architect
- Professional Machine Learning Engineer

📌 Associate Principal - Architecture (Bengaluru)
🏢 LTM
📍 Bengaluru