Associate Principal - Architecture

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
Good 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

Work arrangement
No