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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect (2026 Roadmap)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizons is seeking a visionary Future Tech Architect to lead our strategic roadmap and integrate emerging technologies into our core infrastructure. If you thrive at the intersection of innovation and practical application, this is your chance to build the future.

As a Future Tech Architect, you will bridge the gap between visionary foresight and technical execution. You will be responsible for scouting, evaluating, and deploying next-generation technologies—including advanced AI, Quantum Readiness, and Immersive Web experiences—that will define our products for the coming decade.

Why join us?
We offer a competitive benefits package, equity options, and a culture that rewards bold thinking. You will work alongside the brightest minds in the industry to solve complex problems and shape the digital future.

Responsibilities

  • Define and execute the 2026 Technical Roadmap, identifying emerging technologies that drive competitive advantage.
  • Lead Proof of Concepts (PoCs) for high-risk, high-reward technologies such as Generative AI, Edge Computing, and Spatial Computing.
  • Collaborate with product and engineering teams to design scalable, future-proof system architectures.
  • Establish frameworks for technology evaluation and selection to ensure alignment with long-term business goals.
  • Advocate for technical debt reduction and modernization initiatives across the organization.
  • Mentor senior engineers and architects in emerging tech trends and best practices.

Qualifications

  • 10+ years of experience in software architecture, systems engineering, or technical leadership roles.
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Proven track record of implementing AI/ML solutions or integrating futuristic tech stacks.
  • Strong understanding of cybersecurity, data privacy, and ethical AI practices.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related technical field is preferred.

Required Skills

Cloud Computing Artificial Intelligence System Architecture Strategic Planning Kubernetes Docker Python Go AWS AI Strategy Quantum Computing Spatial Computing

Ready to Take This Challenge?

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