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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect (2026 Roadmap)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the technology infrastructure for the year 2026. At Quantum Leap Dynamics, we are looking for a visionary Next-Gen AI Architect to lead the design of our upcoming flagship systems. You will be at the forefront of integrating emerging AI paradigms, ensuring our solutions are scalable, secure, and future-proof.

In this role, you will bridge the gap between theoretical AI breakthroughs and practical, high-performance engineering. If you are passionate about shaping the future of intelligent systems and thrive in a fast-paced, innovative environment, we want to meet you.

Responsibilities

  • Design and architect scalable AI/ML infrastructure aligned with 2026 technology roadmaps.
  • Lead the technical strategy for integrating next-gen neural networks and quantum-ready algorithms.
  • Collaborate with cross-functional teams to define product requirements and technical specifications.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Optimize existing systems for performance, latency, and throughput.
  • Conduct deep-dive research into emerging AI trends to maintain a competitive edge.

Qualifications

  • 10+ years of experience in software engineering, with a focus on AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS/GCP/Azure).
  • Deep understanding of distributed systems, microservices, and high-availability architectures.
  • Experience with generative AI models and large-scale LLM deployment.
  • Proven track record of leading technical teams and managing complex projects.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow Cloud Computing Distributed Systems Generative AI Leadership

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