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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect | AI & Quantum Integration

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Future Tech Architect to lead our initiatives for the 2026 roadmap. As we stand on the precipice of a new era in computing, your role will be pivotal in integrating generative AI, autonomous agents, and next-generation quantum algorithms into our core infrastructure.

At Nebula Dynamics, we don't just predict the future; we engineer it. You will work alongside elite engineers to build scalable systems capable of processing petabytes of real-time data, ensuring our platforms remain at the forefront of the industry.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and implement scalable architectures for Generative AI and Large Language Models (LLMs) optimized for 2026 latency standards.
  • Autonomous System Integration: Lead the development of autonomous agent frameworks that can execute complex workflows with minimal human intervention.
  • Quantum-Ready Cloud Infrastructure: Collaborate with quantum computing research teams to prepare our cloud environments for future quantum supremacy.
  • Ethical AI Governance: Establish rigorous frameworks for AI safety, bias mitigation, and regulatory compliance in automated decision-making systems.
  • System Optimization: Continuously monitor system performance and implement edge computing solutions to reduce latency in global deployments.
  • Technical Mentorship: Guide a team of junior data scientists and software engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years focusing on LLMs or Generative AI.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Algorithm Mastery: Deep understanding of neural networks, reinforcement learning, and distributed systems.
  • Problem Solving: Demonstrated ability to architect complex, scalable solutions for high-volume data challenges.
  • Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Generative AI LLMs Cloud Architecture AWS GCP Data Engineering

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