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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Architect (2026 Vision)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next generation of intelligent infrastructure. As a Senior AI & Quantum Readiness Architect, you will define the technical roadmap for our next-gen computing solutions. This role is not just about coding; it is about architecting the future of enterprise in 2026 and beyond.

You will bridge the gap between classical AI and emerging quantum computing paradigms, building scalable systems that are resilient, intelligent, and ready for the future.

Why join us?

  • Work on cutting-edge technology that will shape the industry.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with quarterly in-person hackathons.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI architectures that integrate seamlessly with both classical and quantum computing environments.
  • Lead Technical Vision: Define the 2026 technical roadmap, identifying emerging technologies and advising leadership on strategic investments.
  • Model Optimization: Develop and optimize Large Language Models (LLMs) and generative AI models for enterprise-grade performance and security.
  • Collaborate Across Disciplines: Work closely with data scientists, quantum researchers, and product managers to translate complex research into deployable software.
  • Code Review & Mentorship: Mentor a team of mid-to-senior engineers, ensuring code quality, architectural integrity, and adherence to best practices.
  • Performance Engineering: Proactively identify bottlenecks in latency and throughput, implementing solutions that scale with user demand.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (Ph.D. preferred).
  • Experience: 8+ years of experience in software architecture, with at least 4 years specifically in AI/ML engineering.
  • Tech Stack: Deep proficiency in Python, TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms (AWS/GCP/Azure).
  • Emerging Tech: Familiarity with quantum computing concepts (Qiskit, Cirq) and post-quantum cryptography is highly desirable.
  • Leadership: Proven track record of leading technical teams and managing complex projects from conception to deployment.
  • Problem Solving: Exceptional analytical skills with the ability to debug complex distributed systems and optimize algorithmic efficiency.

Required Skills

AI Machine Learning Quantum Computing Python TensorFlow AWS System Architecture LLMs

Ready to Take This Challenge?

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