Employment Type: Full-Time (FTE) Notice Period: Immediate - 15 days

Key Skills Required:

Solid experience in Python programming and AI/ML architecture.

Hands-on experience with Generative AI, LLMs, and RAG architecture.

Experience designing and implementing Agentic AI and multi-agent systems.

Knowledge of vector databases such as Pinecone, FAISS, Weaviate, or Milvus.

Experience with AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.

Experience with cloud platforms such as Azure, AWS, or GCP.

Knowledge of MLOps/LLMOps, AI deployment, monitoring, and scalable system architecture.

Strong technical leadership, solution design, and client communication skills.

Preferred Domain: US Healthcare or Retail.

Role Overview:

The role involves designing and architecting AI-native applications, building production-grade GenAI and Agentic AI solutions, defining enterprise AI architecture standards, and leading technical teams in delivering scalable, secure, and effective AI solutions.

Candidates should have experience architecting and deploying AI solutions in production environments.

📌 AI ML Architect (Secunderabad)
🏢 Thinkwise Consulting
📍 Secunderabad