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Senior AI Architect - Project 2026

Quantum Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Be a Pioneer of the Future

Quantum Horizon is seeking a visionary Senior AI Architect to lead our 'Project 2026' initiative. This is a high-impact role where you will define the architectural framework for next-generation artificial intelligence systems designed to revolutionize enterprise scalability and quantum integration. If you are passionate about pushing the boundaries of what's possible in 2026 and beyond, we want to hear from you.

What You Will Do

As the lead architect for Project 2026, you will be responsible for designing robust, scalable, and secure AI infrastructures. You will bridge the gap between theoretical AI models and practical, real-world deployment, ensuring our solutions are ready for the technological demands of the future.

Responsibilities

  • Lead Architecture Design: Spearhead the end-to-end design of our proprietary AI engine, ensuring scalability, security, and performance.
  • Quantum Integration: Develop strategies for integrating classical AI models with emerging quantum computing paradigms.
  • System Optimization: Implement advanced optimization techniques to reduce latency and improve inference speeds for real-time applications.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Roadmap Planning: Define the technical roadmap for Project 2026, aligning engineering milestones with business objectives.
  • Security Compliance: Ensure all architectural decisions adhere to the highest standards of data privacy and cybersecurity.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed systems design.
  • Project 2026 Specifics: Experience with edge computing architectures and large language model (LLM) fine-tuning.
  • Communication: Exceptional ability to translate complex technical concepts into actionable strategies for non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex, large-scale technical challenges.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture Quantum Computing Cloud Infrastructure System Design NLP

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