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Senior AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect (2026 Vision) to lead the next generation of autonomous systems at Nexus Horizon. As the tech landscape evolves toward 2026, we need a technical leader who can architect scalable, high-performance AI infrastructure capable of handling complex, long-horizon tasks.

In this pivotal role, you will define the technical strategy for our predictive AI models and ensure our systems remain future-proof. You will work at the intersection of research and production, bridging the gap between theoretical AI advancements and practical, real-world applications.

Key Highlights:

  • Lead the architecture of our Agentic AI and Long-horizon planning systems.
  • Work with state-of-the-art Large Language Models (LLMs) and neural architectures.
  • Drive technical innovation that defines the standard for 2026 and beyond.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure optimized for 2026 workloads.
  • Lead the technical roadmap for autonomous agents and predictive modeling.
  • Collaborate with product and engineering teams to integrate AI solutions seamlessly.
  • Mentor senior engineers and establish best practices for MLOps and model governance.
  • Evaluate emerging technologies (e.g., neuromorphic computing, edge AI) to ensure long-term competitiveness.
  • Optimize model inference latency and cost-efficiency in cloud environments.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in machine learning architecture.
  • Proven track record of architecting large-scale AI systems that handle millions of requests per day.
  • Deep expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
  • Excellent leadership skills with the ability to drive technical strategy and cross-functional collaboration.

Required Skills

Python Machine Learning AI Architecture TensorFlow PyTorch LLMs MLOps Kubernetes Cloud Computing San Francisco CA

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