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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect | Shaping the 2026 Landscape

Apex Innovation Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Future Tech Architect to spearhead the technological evolution leading up to the transformative year of 2026. In this high-impact role, you will define the strategic roadmap for emerging technologies, including advanced AI, quantum computing, and next-generation web architectures.

Apex Innovation Labs is not just building for today; we are architecting the infrastructure for tomorrow. You will work closely with C-suite executives and R&D teams to identify high-potential technologies that will define the competitive landscape in the coming years.

Responsibilities

  • Define and execute the long-term technical roadmap for the 2026 product suite, focusing on AI integration and edge computing.
  • Lead architecture reviews for high-stakes projects involving machine learning models and real-time data processing.
  • Collaborate with cross-functional teams to bridge the gap between theoretical research and practical application.
  • Identify and evaluate emerging tech trends (e.g., Generative AI v3, Neuromorphic computing) to ensure our infrastructure remains future-proof.
  • Oversee the migration of legacy systems to scalable, next-gen cloud architectures.
  • Mentor senior engineering staff and foster a culture of innovation and continuous learning.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a leadership or strategic capacity.
  • Deep expertise in Artificial Intelligence, Machine Learning, and Cloud Infrastructure (AWS/GCP/Azure).
  • Strong understanding of quantum computing principles and their potential business applications.
  • Proven track record of leading complex technical transformations in a fast-paced environment.
  • Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Quantum Computing Software Engineering Strategic Planning San Francisco CA

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