Description

Lead the design and delivery of enterprise-grade AI and GenAI solutions that deliver measurable business impact.

Responsibilities

• Translate business problems into scalable AI architectures and production systems.
• Build solutions utilizing RAG, multi-agent orchestration, and hybrid reasoning.
• Own the end-to-end AI lifecycle, from data ingestion through deployment and monitoring.
• Apply MLOps, LLMOps, and FMOps for automated and reliable AI deployments.
• Communicate complex AI concepts clearly to technical and business stakeholders.

Required Skills

• 10+ years of professional experience.
• 4+ years in AI/ML solution or architecture roles.
• Expertise in GenAI and LLMs.
• Hands-on experience with RAG implementation.
• Proficiency in MLOps and LLMOps practices.
• Experience building agentic AI systems.
• Ability to design and deploy scalable, secure AI solutions.

Key Skills

Education

Any Graduate