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Senior AI Architect (2026 Roadmap)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Be the Architect of Tomorrow.

Quantum Horizon Labs is at the forefront of defining the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our strategic roadmap, bridging the gap between theoretical AI capabilities and practical, scalable applications. If you have a passion for ethical AI, neural networks, and building the infrastructure of the future, we want to meet you.

In this role, you will not just implement existing solutions; you will define the architecture for the next generation of machine learning systems. You will work closely with our R&D team to prototype technologies that will define the 2026 tech ecosystem.

Responsibilities

  • Lead the 2026 AI Roadmap: Define the technical vision and architectural strategy for long-term AI initiatives, ensuring scalability and future-proofing.
  • Design Core Systems: Architect robust, high-performance machine learning pipelines and neural network architectures for complex real-world problems.
  • Ethical AI Implementation: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and bias mitigation in all models.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and software engineers to translate strategic goals into technical specifications.
  • Prototype Innovation: Spearhead proof-of-concept projects involving cutting-edge technologies such as Quantum Computing integration and Generative AI.
  • System Optimization: Continuously monitor and optimize existing systems for latency, throughput, and resource efficiency.
  • Knowledge Sharing: Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of professional experience in software engineering and machine learning architecture.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Strategic Mindset: Proven track record of leading large-scale technical projects and defining long-term product roadmaps.
  • Quantum Awareness: Familiarity with quantum algorithms and their potential application in classical AI architectures (a plus).
  • Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.
  • Problem Solving: Ability to troubleshoot complex architectural issues and make data-driven decisions.

Required Skills

Python TensorFlow PyTorch Machine Learning Architecture AI Ethics Cloud Computing System Design Strategic Roadmapping

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