Posted 23 August, 2026
IND_Chief Architect
ARTech
Bangalore,560049
Full Time
Reference: 365_625640_26-42500
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, DeepSeek)
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, DeepSeek)
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)
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, DeepSeek)
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, DeepSeek)
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)
