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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap Initiative

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

Job Description

Shape the Future of Technology

Nexus Horizon Systems is pioneering the next era of digital evolution. As we gear up for the Year 2026 roadmap, we are looking for a visionary Senior AI Architect to lead our cutting-edge initiatives in Artificial Intelligence and Quantum Computing integration.

Our mission is to define the infrastructure of tomorrow. In this role, you will not just write code; you will architect the foundation for the next decade of technological advancement. You will work alongside world-class engineers to deploy AI solutions that are scalable, secure, and transformative.

Why Join Us?

  • Be at the forefront of the 2026 technology landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art offices.

Responsibilities

  • Lead the architectural design for the 2026 technology stack, integrating AI and Quantum Computing protocols.
  • Develop high-level strategies and roadmaps for AI system integration across global platforms.
  • Oversee the implementation of scalable machine learning models and deep learning frameworks.
  • Mentor junior engineers and data scientists to foster a culture of innovation and technical excellence.
  • Ensure system reliability, security, and performance optimization for future-proof applications.
  • Collaborate with product managers to translate complex business requirements into technical solutions.
  • Conduct regular code reviews and technical architecture assessments.

Qualifications

  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern Cloud Infrastructure (AWS, GCP, or Azure).
  • Strong understanding of Quantum Computing concepts and their application to classical systems.
  • Proven track record of leading large-scale technical teams and projects.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience with distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Quantum Computing Cloud Architecture System Design Leadership Deep Learning Neural Networks

Ready to Take This Challenge?

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