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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Principal AI Architect to lead our strategic roadmap for 2026 and beyond. At Nexus Horizon AI, we are building the infrastructure for the next generation of artificial intelligence. You will define the architectural principles that will guide our R&D efforts for the next decade, ensuring our systems are scalable, ethical, and revolutionary.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will work closely with C-level executives and research scientists to translate abstract concepts into concrete technical strategies. If you are passionate about the future of technology and want to define the standards of AI for the 2026 era, we want to hear from you.

Responsibilities

  • Define the 2026 Roadmap: Lead the architectural vision for our upcoming product lines, ensuring alignment with long-term business goals and industry trends.
  • System Design: Design and oversee the implementation of high-scale, distributed machine learning systems capable of processing petabytes of data in real-time.
  • Technical Leadership: Mentor senior engineers and architects, fostering a culture of innovation and technical excellence across the organization.
  • Research Integration: Evaluate emerging AI paradigms and integrate cutting-edge research findings into our core technology stack.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and drive consensus on architectural decisions.
  • Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy and ethical AI usage.

Qualifications

  • Education: Ph.D. in Computer Science, Artificial Intelligence, or a related field is highly preferred.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior or principal architectural role within the AI/ML space.
  • Technical Mastery: Deep expertise in machine learning frameworks (PyTorch, TensorFlow), distributed systems (Kubernetes, Docker), and cloud architecture (AWS, GCP).
  • Strategic Thinking: Proven track record of defining technical roadmaps and leading teams through complex architectural transitions.
  • Communication: Exceptional ability to articulate technical strategies to diverse audiences, from engineers to executives.
  • Problem Solving: Demonstrated ability to solve ambiguous problems and drive innovation in uncharted territories.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker AWS GCP Machine Learning Deep Learning Distributed Systems System Design Strategic Planning

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