Artificial Intelligence Architect

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