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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

Are you ready to shape the future? Nexus Horizon Technologies is seeking a visionary Senior AI Architect to spearhead our Project 2026 initiative. In this pivotal role, you will design and implement the foundational infrastructure for next-generation generative AI systems. We are not just building software for today; we are architecting the intelligence layer that will define the decade ahead. Join a team of world-class engineers and researchers pushing the boundaries of what is possible in artificial general intelligence and scalable machine learning.


Why Join Us?
• Work on cutting-edge technology with a direct impact on the trajectory of AI development.
• Competitive compensation package with equity options.
• Flexible remote-first culture with access to premium tech hubs.

Responsibilities

  • Architectural Leadership: Design robust, scalable, and secure distributed systems tailored for high-volume AI inference and training workloads.
  • Project 2026 Strategy: Define the technical roadmap and engineering standards for the Project 2026 initiative, ensuring alignment with long-term business objectives.
  • System Optimization: Oversee the deployment of MLOps pipelines to streamline model training, validation, and deployment processes.
  • Team Mentorship: Lead a high-performance engineering team, conducting code reviews, architectural reviews, and fostering a culture of continuous learning.
  • Technical Innovation: Research and prototype emerging technologies, including quantum-ready algorithms and edge computing integration.
  • Stakeholder Communication: Translate complex technical concepts for executive stakeholders and collaborate with product managers to define feature requirements.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Experience: 8+ years of software engineering experience, with at least 3 years in a senior or lead architectural role within the AI/ML space.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • System Design: Proven track record of designing fault-tolerant systems capable of handling petabyte-scale data.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex project lifecycles.
  • Communication: Exceptional written and verbal communication skills.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes Docker MLOps System Architecture Machine Learning Generative AI

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