Artificial Intelligence Architect

1 day ago

Bengaluru, Karnataka, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About the Role

We are seeking a highly skilled Artificial Intelligence Architect to join our team. As an AI Architect, you will be responsible for designing and implementing agentic AI systems using modern LLM orchestration frameworks.

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

Requirements

  • 2+ years of hands-on experience in agentic AI / multi-agent systems
  • Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks
  • Strong background in Python and experience with prompt engineering, tools integration, and chaining logic
  • Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures
  • Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral)
  • Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure)
  • Able to lead architectural discussions, PoCs, and hands-on development in fast-paced environments
  • Model-cost profiling and budgeting (API call minimization, batch vs. streaming)
  • Latency tuning for real-time agents, Autoscaling strategies
  • Exposure to Autonomous AI agents (AutoGPT, BabyAGI, CAMEL, MetaGPT)
  • Understanding of LLM fine-tuning, adapters, and RLHF
  • Experience with agent simulation, environment modeling, or reinforcement learning is a plus
  • Familiarity with compliance, privacy, and safety in GenAI deployments
  • Prior experience in building domain-specific agents (Lifescience, healthcare, Pharma)

Benefits

This role offers a unique opportunity to work on cutting-edge AI projects and collaborate with a talented team of engineers and researchers. You will have the chance to develop your skills and expertise in agentic AI and contribute to the development of innovative AI solutions.

About Us

We are a leading organization in the field of artificial intelligence and machine learning. Our mission is to push the boundaries of AI research and development and to create innovative solutions that can benefit society as a whole.

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