
Lead AI Systems Design Specialist
12 hours ago
We are seeking a visionary AI Systems Architect to lead the design and integration of cutting-edge 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 systems on the cloud.
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 deploy LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems.
- Develop agentic AI 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.
- Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
Qualifications:
- 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.
- 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).
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