Ai Architect
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Job Description
Role - Ai Architect
Mode - Hybrid
Location - Pune/Mumbai/Chennai/Hyderabad/Bangalore/Noida/Kolkata
Exp - 8+ Yrs
Mandatory Skills AI Architect:
- Enterprise AI Platform Architecture
- Agentic AI Architecture and Multi-Agent Systems
- Azure AI Foundry, Azure OpenAI, Azure AI Services
- Experience with Agentic AI frameworks (LangGraph, LangChain, LangFuse and Langsmith)
- AI Governance, Security, Responsible AI, Compliance
- Enterprise Integrations, APIs, MCP (Model Context Protocol)
- Kubernetes, Cloud-Native Architecture, Platform Engineering
- AI FinOps, Observability, Monitoring, and Operational Excellence
- Technical Leadership / Architecture Governance
More Info
Key Skills
Agentic AI Architecture and Multi-Agent Systems
AI Governance
AI FinOps
Azure OpenAI
Azure AI Foundry
Azure AI Services
Cloud-Native Architecture
Enterprise AI Platform Architecture
Responsible AI Compliance
MCP Model Context Protocol
Enterprise Integrations
AI Architect
Observability
Platform Engineering
About Company
Skills:
Typescript, Gcp, Docker, Azure, Kubernetes, Python, AWS, Go, vector databases
Skills:
Enterprise Knowledge Base (EKB), Rpa, Solution Architecture, Automation Design, Automation Anywhere, Api Integration, Automation Anywhere APA, AI Studio, AI Automation, RPA Integration, AI Architect, Intelligent Automation, AI-Driven Solutions, Process Automation, Enterprise Automation
Skills:
Apache Spark, Azure Databricks Delta Lake, Azure AI services, Databricks Genie, Azure Databricks Lakehouse
Skills:
Python, FastAPI, Rest Apis, AWS Bedrock, Claude, Azure OpenAI, GPT, Microservices architecture, LangGraph, Vector Databases, Security, Embeddings, Multi-Agent Systems, cloud-based AI platforms, responsible AI practices, observability, CrewAI, Generative AI, Enterprise Knowledge Systems, LLMs, Semantic Kernel, AutoGen, Azure AI Services, Agentic AI, Llama, RAG, AI governance, Gemini, Prompt Engineering
Skills:
Ml, Nlp, cloud, LangChain, embeddings, GenAI ecosystems, Hugging Face, vector databases, Risk And Compliance, enterprise-scale AI platforms, LLM frameworks, AI governance, LlamaIndex, RAG architectures