Jobs → Customer Support → AI Architect

About the Role We are seeking an AI Architect to lead enterprise AI architecture and build advanced AI solutions. This role involves defining end-to-end architectures for GenAI, Agentic AI, and AI/ML across AWS, Azure, and GCP. Key Responsibilities • Lead a dedicated pod of 3–5 AI architects and engineers • Define end-to-end architectures for GenAI, Agentic AI, and AI/ML across AWS, Azure, and GCP • Architect multi-agent workflows, AI Agents, RAG, and intelligent automation systems • Build seamless integrations using Model Context Protocol (MCP), tool calling, and enterprise APIs • Establish best practices for model lifecycle management, evaluation, monitoring, and observability • Code in Python/FastAPI when needed, lead client workshops, and mentor engineering teams Requirements • 16–18+ years in Software Engineering, Cloud Architecture, AI/ML, or Enterprise Architecture • Deep expertise with LLMs, multi-agent frameworks, RAG, vector search, and prompt/context engineering • Production experience with AWS Bedrock, Azure AI Foundry / Azure OpenAI, and GCP Vertex AI • Proven track record taking AI solutions from concept to full production scale • Tech Stack: Python, FastAPI/REST APIs, microservices, and distributed architectures • Deep understanding of AI security, responsible AI, and enterprise risk management • Experience with Databricks Stack: Lakehouse, MLflow, Unity Catalog, Delta Lake, Vector Search • Frameworks: LangGraph, Lang Chain, Semantic Kernel, AWS Bedrock Agents • Cloud and Data Infrastructure: Kubernetes, Terraform, PySpark, Snowflake, Microsoft Fabric, CI/CD • Major Cloud/AI Certifications (AWS, Azure, GCP)