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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Agentic Workflows

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you ready to define the future of Artificial Intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of autonomous Agentic AI systems. As we prepare for the transformative era of 2026, we need a technical leader capable of bridging the gap between advanced LLMs and real-world, autonomous decision-making workflows.

In this role, you won't just maintain systems; you will architect the core intelligence behind our next-generation products. Join us in building the infrastructure that powers the autonomous workforce of tomorrow.

Responsibilities

  • Architect Agentic Workflows: Design and implement complex, multi-agent AI systems capable of autonomous task execution and collaboration.
  • LLM Integration: Spearhead the integration of state-of-the-art Large Language Models with proprietary knowledge bases using RAG (Retrieval-Augmented Generation) frameworks.
  • Edge Optimization: Develop optimized inference engines capable of running advanced AI models on edge devices with minimal latency.
  • Quantum-Resilient AI: Research and implement cryptographic protocols ensuring AI model integrity against future quantum computing threats.
  • System Scalability: Build fault-tolerant, distributed cloud infrastructure to support billions of autonomous AI interactions.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in Machine Learning engineering, with at least 2 years in high-scale production environments.
  • Technical Stack: Proficiency in Python, Rust, and experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
  • LLM Expertise: Deep understanding of model fine-tuning, quantization, and deployment (vLLM, HuggingFace).
  • Distributed Systems: Strong background in distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).

Required Skills

Python Machine Learning Large Language Models (LLMs) Rust Agentic AI Distributed Systems Cloud Architecture NLP TensorFlow PyTorch

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