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Information Technology 🏒 Full Time ⭐️ Verified

Senior Future Tech Architect

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the technology of tomorrow? Nexus Horizon Inc. is seeking a visionary Senior Future Tech Architect to lead our initiatives aimed at shaping the landscape of 2026 and beyond. You will work at the intersection of Artificial Intelligence, advanced computing, and strategic foresight to deliver groundbreaking solutions that define the next era of digital innovation.

In this high-impact role, you will bridge the gap between theoretical future trends and practical engineering implementations. You will be responsible for steering the technical direction of our flagship projects, ensuring our infrastructure is resilient, scalable, and future-ready for the challenges of 2026.

Responsibilities

  • Define and execute the technical roadmap for the 2026 product suite, aligning with long-term business goals.
  • Lead Research and Development (R&D) efforts in emerging technologies, including Generative AI and Edge Computing.
  • Design and oversee the architecture of complex, scalable systems capable of handling next-generation workloads.
  • Mentor and lead a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Conduct feasibility studies and risk assessments for new technological integrations.
  • Collaborate closely with C-suite executives and product teams to translate futuristic vision into actionable technical strategies.

Qualifications

  • 10+ years of experience in software architecture, system engineering, or AI development.
  • Proven track record in strategic planning and foresight within a high-growth tech environment.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent machine learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and cybersecurity best practices.
  • Excellent leadership, communication, and stakeholder management skills.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning System Architecture Strategic Planning Python Cloud Computing Leadership R&D

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