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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technical foundation for our 2026 product suite. This is not just a job; it is an opportunity to shape the future of intelligent computing. You will bridge the gap between theoretical research and scalable production engineering, ensuring our systems are ready for the exponential growth expected by 2026.

In this role, you will lead the architecture of next-generation neural networks, optimize large-scale data pipelines, and integrate emerging quantum computing paradigms into our core infrastructure.

Responsibilities

  • Define the 2026 Vision: Lead the architectural strategy for AI systems that will define our market leadership in the coming years.
  • System Design: Design robust, fault-tolerant, and scalable machine learning pipelines capable of handling petabyte-scale data.
  • Quantum-Ready Infrastructure: Collaborate with R&D to prepare our classical models for hybrid quantum-classical computing environments.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Performance Optimization: Drive initiatives to reduce inference latency and improve model accuracy by 20% year-over-year.
  • Stakeholder Management: Translate complex technical concepts into clear roadmaps for executive leadership and product teams.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Quantum Knowledge: Familiarity with quantum computing concepts (e.g., Qiskit, Cirq) is highly desirable.
  • Cloud Mastery: Extensive experience designing systems on AWS, GCP, or Azure.
  • Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Quantum Computing System Architecture AWS Cloud Computing Leadership

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