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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

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

Job Description

Are you ready to architect the future? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our critical infrastructure projects for the 2026 roadmap. We are pioneering the next generation of generative AI and predictive analytics, and we need a technical leader who thrives in ambiguity and excels at building scalable systems.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI models are robust, ethical, and ready for global deployment. You will work directly with C-level leadership to define technical strategies that will define the industry standards for the upcoming decade.

Why Join Us?

  • Work on cutting-edge AI technologies that will shape the 2026 landscape.
  • Competitive salary and equity package.
  • Flexible remote-first culture with premium San Francisco amenities.
  • Access to the latest hardware and cloud resources.

Responsibilities

  • Architectural Leadership: Design and oversee the end-to-end architecture for large-scale machine learning systems, focusing on scalability, fault tolerance, and performance.
  • Roadmap Execution: Translate business objectives into technical roadmaps for the 2026 product cycle, ensuring milestones are met with high precision.
  • Model Optimization: Lead initiatives to optimize existing models for latency and cost, significantly reducing inference costs for production environments.
  • Tech Stack Evangelism: Evaluate and integrate emerging technologies (e.g., quantum-ready algorithms, edge AI) into our core infrastructure.
  • Team Mentorship: Foster a culture of engineering excellence by conducting code reviews, architectural reviews, and technical workshops for junior developers.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with distributed systems (Kubernetes, Docker) is required.
  • AI Expertise: Proven track record of deploying Large Language Models (LLMs) or Generative AI solutions in production.
  • Strategic Thinking: Ability to think long-term and align technical decisions with business goals for the 2026 timeframe.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Kubernetes AWS Cloud Architecture System Design Generative AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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