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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Quantum Dynamics as our Senior AI Architect (2026 Roadmap) and help define the technological landscape of the future. We are not just building for today; we are architecting the solutions that will define the 2026 standard.

As a key player on our elite R&D team, you will spearhead the integration of advanced generative AI, predictive analytics, and autonomous systems into our core product suite. Your work will bridge the gap between theoretical research and scalable production infrastructure.

Why join us? We offer top-tier compensation, equity packages, and an environment that encourages radical innovation. If you are passionate about the future of technology and want to leave a legacy, this is your platform.

Responsibilities

  • Lead the architectural vision for our 2026 technology roadmap, ensuring scalability, security, and performance.
  • Design and implement robust machine learning pipelines and large-scale neural network architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive feature adoption.
  • Oversee the migration of legacy systems to modern, cloud-native AI infrastructures.
  • Establish best practices for AI ethics, model interpretability, and data governance.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent deep learning frameworks.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale AI models into production environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with prompt engineering and LLM integration (GPT-4, Claude, etc.) is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Python System Design Cloud Computing TensorFlow AWS Leadership

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