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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - The 2026 Initiative

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of the Project 2026 infrastructure. This is an exclusive opportunity to define the operating system for the next generation of autonomous digital agents. At Nexus Horizon, we are building scalable, fault-tolerant AI systems that power real-world applications. As part of this high-impact initiative, you will bridge the gap between cutting-edge machine learning research and production-grade software engineering.

Why Join Us?
We are a forward-thinking tech firm investing heavily in the future. You will work with state-of-the-art tools, collaborate with top-tier talent, and have a direct impact on how technology evolves in 2026 and beyond.

Responsibilities

  • Architect & Design: Lead the end-to-end architectural design for high-volume AI inference systems and autonomous agent workflows.
  • Project 2026 Roadmap: Translate strategic business goals into technical roadmaps, ensuring milestones for Q1-Q4 2026 are met.
  • Model Optimization: Implement and optimize Large Language Models (LLMs) for reduced latency and increased throughput.
  • Infrastructure: Design resilient cloud-native architectures on AWS/Azure, utilizing Kubernetes and serverless technologies.
  • Code Quality: Establish coding standards and conduct rigorous code reviews to maintain engineering excellence.

Qualifications

  • Experience: 5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML infrastructure.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and modern containerization tools (Docker, Kubernetes).
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Problem Solving: Demonstrated ability to solve complex technical challenges in distributed systems.
  • Leadership: Experience mentoring junior engineers and driving technical decision-making.

Required Skills

Python Machine Learning AWS Kubernetes Docker System Design PyTorch TensorFlow Microservices

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