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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are at the forefront of the technological revolution, building the infrastructure that will define the Year 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our mission-critical initiatives in Autonomous Agents and Generative AI.

In this high-impact role, you will design and implement the next generation of AI systems capable of complex reasoning, multimodal interaction, and autonomous decision-making. You will not just build software; you will architect the future of human-machine collaboration.

Join us in shaping the intelligent landscape of 2026.

Responsibilities

  • Architect scalable, fault-tolerant AI systems designed for the demands of the 2026 era, focusing on autonomous agents and LLM orchestration.
  • Lead the technical strategy for deploying state-of-the-art machine learning models in production environments with minimal latency.
  • Collaborate with cross-functional teams (Product, Engineering, Research) to define and execute the roadmap for future AI capabilities.
  • Implement rigorous testing, validation, and monitoring frameworks to ensure model reliability and safety.
  • Drive innovation in Generative AI, integrating cutting-edge research into practical, high-value applications.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture and design.
  • Expert proficiency in Python, PyTorch, and TensorFlow, with deep knowledge of distributed systems.
  • Proven track record of designing and deploying large-scale LLMs and multimodal models in production.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with AI ethics, bias mitigation, and responsible AI deployment practices.
  • Familiarity with the emerging trends and technologies expected to define the 2026 landscape.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Computing LLMs AI Architecture Kubernetes AWS

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