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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 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future of Intelligence. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the 2026 technology roadmap. In this pivotal role, you will architect the next generation of generative AI and quantum-integrated systems, bridging the gap between theoretical breakthroughs and scalable production environments.

We are not just building software; we are defining the infrastructure of tomorrow. Join a elite team of researchers and engineers dedicated to pushing the boundaries of what is possible in artificial intelligence by 2026.

Responsibilities

  • Architect System Roadmaps: Define and execute the technical vision for AI infrastructure milestones leading up to the 2026 release cycle.
  • Model Optimization: Design and deploy large-scale neural networks, optimizing for speed, efficiency, and accuracy.
  • Quantum Integration: Lead R&D efforts in hybrid classical-quantum algorithms to solve complex computational problems.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Collaboration: Work closely with product managers and stakeholders to translate business goals into technical specifications.
  • Code Review & Standards: Enforce rigorous code quality standards and architectural patterns across the organization.

Qualifications

  • Education: Ph.D. in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
  • Technical Skills: Deep expertise in Python, C++, and TensorFlow/PyTorch. Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a major plus.
  • Cloud Mastery: Proven experience architecting scalable systems on AWS or Google Cloud Platform.
  • Leadership: Demonstrated ability to lead high-performance engineering teams through complex technical challenges.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Quantum Computing AWS Kubernetes System Design Machine Learning NLP Deep Learning

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