Artificial Intelligence Architect

Job description

**Role & responsibilities** - Experience: 10-15 years - Location: **PAN India** - 8+ years of experience in AI/ML, with 2+ years in GenAI or LLM-based solutions. - Define and lead the architecture of GenAI solutions across multiple business domain - Deep understanding of: - RAG architectures (vector stores, retrieval strategies, reranking) - Prompt engineering patterns (system prompts, templates, structured output) - Agents and tool-use (planning, memory, tool calling, guardrails) - Handson proficiency in Python - Experience with frameworks such as LangChain / LlamaIndex / Semantic Kernel (or equivalent orchestration libraries). - API development experience with FastAPI / Flask / Spring Boot / Node.js. - Strong experience with at least one cloud: Azure / AWS / GCP. - Exposure to services like: - Azure: Azure OpenAI, Cognitive Search, AKS, Functions - AWS: Bedrock, OpenSearch, Lambda, EKS - GCP: Vertex AI, Vector Search, Cloud Run/GKE - Exposure to Containerization and CI/CD: Docker, Kubernetes, pipelines (Azure DevOps/GitHub Actions/Jenkins). - Experience with vector databases (Pinecone, Milvus, Weaviate, FAISS) and/or search engines (Elastic/OpenSearch). - Strong SQL fundamentals; familiarity with document stores and metadata catalogs is a plus. - Ability to Evaluate and select appropriate LLMs, frameworks, and infrastructure for GenAI use cases **Preferred candidate profile**