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Information Technology 🏒 Full Time ⭐️ Verified

Future of AI Architect

Nova Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the landscape of technology for 2026 and beyond? Nova Horizon Technologies is seeking a visionary Future of AI Architect to lead our cutting-edge research and development initiatives.

In this pivotal role, you will not just build AI models; you will architect the very infrastructure that will power the next decade of digital transformation. You will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications, ensuring our systems are resilient, ethical, and exponentially intelligent.

If you thrive in ambiguity and possess a deep understanding of predictive algorithms, this is your opportunity to shape the future.

Responsibilities

  • Design and architect next-generation Artificial Intelligence frameworks capable of scaling to enterprise levels.
  • Lead research and development efforts focused on predictive AI, autonomous systems, and neural networks.
  • Define the strategic roadmap for AI capabilities, ensuring alignment with the company's 2026 vision.
  • Collaborate with cross-functional teams including Quantum Computing, Robotics, and Data Science to integrate advanced AI solutions.
  • Establish best practices for AI ethics, bias mitigation, and data governance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Monitor emerging AI trends and technologies to maintain a competitive edge in the market.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 10+ years of professional experience in software engineering and AI architecture, with at least 4 years in a leadership or senior architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Strong understanding of neural networks, deep learning architectures, and reinforcement learning.
  • Exceptional problem-solving skills with the ability to translate complex business requirements into technical solutions.
  • Excellent communication skills, capable of articulating technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Neural Networks AI Strategy Deep Learning Cloud Architecture TensorFlow PyTorch AWS Leadership

Ready to Take This Challenge?

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