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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our R&D efforts into the 2026 era. At Nebula Dynamics, we are not just building software; we are architecting the future of human-machine interaction. You will be at the forefront of developing scalable, ethical, and high-performance artificial intelligence systems that will define the decade.

Join a team of elite engineers and researchers passionate about solving complex problems in quantum computing, generative AI, and autonomous systems.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the implementation of robust, scalable AI infrastructure designed to handle the demands of 2026 and beyond.
  • R&D Leadership: Drive research initiatives focused on advanced machine learning algorithms and neural network optimization.
  • Technical Strategy: Define the long-term technical roadmap, ensuring alignment with business goals and emerging industry trends.
  • Team Mentorship: Mentor a high-performing engineering team, fostering a culture of innovation, continuous learning, and technical excellence.
  • System Integration: Integrate complex AI models with existing cloud ecosystems and legacy systems to ensure seamless performance.
  • Ethical AI Governance: Establish and enforce best practices for responsible AI, ensuring fairness, transparency, and safety in all deployed models.

Qualifications

  • Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Leadership: Proven track record of leading cross-functional teams and managing large-scale technical projects.
  • Cloud Mastery: Strong experience with AWS, Azure, or Google Cloud Platform (GCP) in a production environment.
  • Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize performance under pressure.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning Cloud Architecture Leadership System Design

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