
Transforming Business through Scalable AI
23 hours ago
We are seeking a visionary professional to lead the design and integration of cutting-edge AI systems. As an AI Systems Architect, you will be responsible for designing and implementing scalable and secure AI systems leveraging Large Language Models (LLMs), Generative AI, and multi-agent frameworks.
This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks and can translate complex business goals into innovative, AI-driven technical solutions.
Key Responsibilities:
- Design and implement 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.
- Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps.
Qualifications:
- 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.
- Proven experience 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.
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