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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are pioneering the next generation of intelligent systems, and we are seeking a visionary Senior AI Architect to define our roadmap for 2026 and beyond.

In this pivotal role, you will bridge the gap between theoretical AI capabilities and practical, scalable enterprise solutions. You will lead a world-class team of engineers in deploying cutting-edge generative models and autonomous agents. If you are obsessed with the future of technology and want to build systems that will define the industry landscape, we want to hear from you.

Why Join Us?

  • Future-Forward Impact: Work on projects that are shaping the technological landscape of 2026.
  • Premium Compensation: Competitive salary and equity package.
  • Global Collaboration: Work with diverse talent across the US and Europe.

Responsibilities

  • Architect and design scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Lead the technical strategy for integrating next-generation LLMs and reinforcement learning models into core products.
  • Define the 2026 technical roadmap, ensuring alignment with business goals and industry standards.
  • Mentor senior engineers and foster a culture of innovation and continuous learning.
  • Collaborate with product managers to translate complex AI capabilities into user-centric features.
  • Ensure system security, compliance, and ethical AI implementation across all deployments.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven track record of leading large-scale distributed systems and high-availability platforms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong background in Natural Language Processing (NLP) and Generative AI models.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, AI, or a related technical field is preferred.

Required Skills

Python Machine Learning Deep Learning NLP AWS Kubernetes TensorFlow System Architecture AI Strategy

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