AI Architect

Job Title: Agentic AI Architect

Experience Level: 8+ years (minimum 2–3 years in ML, Gen AI and Multi-Agent Systems)

Key Responsibilities:

• Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.).
• Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.
• Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
• Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support).
• Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).
• Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.
• Guide teams in adopting agent ...