Artificial Intelligence Architect

1 day ago

Thrissur, Kerala, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Join us in shaping the future of Artificial Intelligence as a visionary leader.

We are seeking an exceptional professional to lead the design and integration of cutting-edge AI systems, including Generative AI, Large Language Models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud.

Key Skills and Qualifications:

  • 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.
  • Proven expertise designing and deploying LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems.
  • Strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.
  • Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure.
  • Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming).
  • Familiarity with data governance, AI ethics, and security considerations in production-grade systems.
  • Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

Responsibilities:

  • Design and implement AI solutions leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search).
  • Oversight of implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases.
  • Build robust agentic workflows using tools like LangGraph, CrewAI, or Agno, enabling autonomous task execution, planning, memory, and tool use.
  • Collaboration with cross-functional teams to translate business requirements into architectural blueprints and technical roadmaps.
  • Definition and enforcement of AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
  • Leadership of AI solution design reviews and alignment with compliance, ethics, and responsible AI standards.
  • Evaluation of emerging GenAI & agentic tools; running proofs-of-concept and guiding build vs-buy decisions.

About this Role:

  • This is a senior-level position requiring significant technical expertise and leadership abilities.
  • The ideal candidate will have a strong track record of designing and deploying large-scale AI systems, along with excellent communication and collaboration skills.

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