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)
- GenAI Architecture Patterns – RAG, agentic workflows, prompt pipelines, and context orchestration

4.

Vector

Databases &

- Embeddings – Pinecone, FAISS, Weaviate, Azure Cognitive Search
- API &
- Microservices Architecture – REST APIs, service orchestration, event-driven design
- LLMOps / AI Lifecycle – model deployment, monitoring, evaluation, prompt/version management
- Responsible AI &
- Governance – security, compliance, auditability, explainability frameworks
- 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)
- GenAI Architecture Patterns – RAG, agentic workflows, prompt pipelines, and context orchestration

4.

Vector

Databases &

- Embeddings – Pinecone, FAISS, Weaviate, Azure Cognitive Search
- API &
- Microservices Architecture – REST APIs, service orchestration, event-driven design
- LLMOps / AI Lifecycle – model deployment, monitoring, evaluation, prompt/version management
- Responsible AI &
- Governance – security, compliance, auditability, explainability frameworks
- Domain-specific GenAI solutioning (customer experience, finance, supply chain, IT operations)

📌 IND_Chief Architect (Bengaluru)
🏢 Artech Infosystems
📍 Bengaluru