Description: GenAI Architect

Ex -4 years

Location - Bangalore, Pune

1. Large Language Models (LLMs) – OpenAI, Azure OpenAI, open-source LLMs (LLaMA, Mistral, etc.)
2. Cloud GenAI platforms & LLM ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, Deep Seek)
3. GenAI Architecture Patterns – RAG, agentic workflows, prompt pipelines, and context orchestration
4. Vector Databases & Embeddings – Pinecone, FAISS, Weaviate, Azure Cognitive Search
5. API & Microservices Architecture – REST APIs, service orchestration, event-driven design
6. LLMOps / AI Lifecycle – model deployment, monitoring, evaluation, prompt/version management
7. Responsible AI & Governance – security, compliance, auditability, explainability frameworks
8. Domain-specific GenAI solutioning (customer experience, finance, supply chain, IT operations)

Skill
1. Large Language Models (LLMs) – OpenAI, Azure OpenAI,



open-source LLMs (LLaMA, Mistral, etc.)
2. Cloud GenAI platforms & LLM ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, Deep Seek)
3. GenAI Architecture Patterns – RAG, agentic workflows, prompt pipelines, and context orchestration
4. Vector Databases & Embeddings – Pinecone, FAISS, Weaviate, Azure Cognitive Search
5. API & Microservices Architecture – REST APIs, service orchestration, event-driven design
6. LLMOps / AI Lifecycle – model deployment, monitoring, evaluation, prompt/version management
7. Responsible AI & Governance – security, compliance, auditability, explainability frameworks
8. Domain-specific GenAI solutioning (customer experience, finance, supply chain, IT operations)

📌 IND_Chief Architect (India)
🏢 Artech Infosystems
📍 India