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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect | Project 2026 | San Francisco, CA

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Horizon Inc. as we pioneer the infrastructure for Project 2026. We are seeking a visionary Senior AI Architect to lead the design and deployment of next-generation artificial intelligence systems that will redefine the industry standard for the year 2026 and beyond. This is a unique opportunity to build the technological backbone of tomorrow from the heart of Silicon Valley.

Our mission is to bridge the gap between theoretical quantum computing and practical application. If you are a technical leader who thrives in ambiguity and desires to build the systems of the future, we want to hear from you.

Responsibilities

  • Architectural Design: Lead the end-to-end design of scalable, fault-tolerant AI infrastructure tailored for the Project 2026 roadmap, ensuring maximum efficiency and security.
  • System Integration: Oversee the seamless integration of legacy systems with cutting-edge neural networks and generative AI models to drive operational excellence.
  • Performance Optimization: Analyze system bottlenecks and implement high-performance computing solutions to ensure real-time processing capabilities for complex datasets.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • R&D Collaboration: Work closely with R&D departments to prototype and validate novel algorithms for future market readiness and competitive advantage.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
  • Tech Stack: Proficiency in Python, Go, or Rust; deep knowledge of TensorFlow/PyTorch and container orchestration (Kubernetes/Docker).
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
  • Leadership: Demonstrated ability to lead cross-functional teams in high-pressure, fast-paced environments and drive technical vision.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex architectural challenges and implementing scalable solutions.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Go Kubernetes Cloud Computing Leadership

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