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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect - Future Tech Strategist

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

Job Description

Are you ready to define the technological landscape of the year 2026 and beyond? Nexus Horizon is seeking a visionary Principal AI Architect to lead our cutting-edge research and development initiatives. We are building the foundational layers of the next generation of intelligent systems, and you will be the mastermind behind our architectural vision.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable, real-world engineering solutions. You will drive the strategic direction of our AI infrastructure, ensuring we remain at the forefront of innovation as we look toward a future driven by automation and advanced cognition.

Why Join Nexus Horizon?

  • Work on projects that define the future of industry.
  • Competitive compensation package and equity opportunities.
  • Access to state-of-the-art computing resources and a world-class engineering team.

Responsibilities

  • Architect and design scalable, high-performance AI systems and machine learning pipelines tailored for future market needs.
  • Lead the technical vision for the AI department, defining long-term roadmaps and technical strategies.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams, including product management, data science, and security, to integrate AI solutions seamlessly.
  • Evaluate emerging technologies (e.g., Quantum AI, Generative Models) to determine their viability for Nexus Horizon.
  • Ensure system reliability, scalability, and security across all deployed AI models.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior or principal-level AI architecture role.
  • Proven expertise in designing and deploying large-scale machine learning systems.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Deep understanding of neural networks, natural language processing (NLP), and computer vision.
  • Master’s degree or PhD in Computer Science, Mathematics, or a related field is preferred.
  • Exceptional leadership skills with a track record of managing high-performing technical teams.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python Machine Learning Neural Networks Cloud Architecture AI Strategy TensorFlow PyTorch Leadership System Design NLP Computer Vision

Ready to Take This Challenge?

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