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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect (2026 Roadmap)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are at the precipice of a technological revolution, and Nexus Horizon is defining the 2026 Roadmap. We are seeking a visionary Future Tech Architect to lead our infrastructure and AI integration strategy. You will be responsible for building the digital backbone that will power our operations a decade from now, ensuring scalability, security, and innovation. If you are passionate about shaping the future of technology and thrive in a high-performance environment, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 technology landscape.
  • Competitive compensation package with equity opportunities.
  • Flexible work arrangements and a culture of continuous learning.

Responsibilities

  • Define the 2026 Vision: Lead the architectural planning for the next 5 years, identifying emerging tech trends like Generative AI and Quantum Readiness.
  • System Architecture: Design and implement scalable, fault-tolerant systems capable of handling high-volume data streams and complex computations.
  • AI Integration: Oversee the integration of advanced machine learning models into core business processes to drive automation and efficiency.
  • Technical Leadership: Mentor a team of senior engineers and developers, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Ensure all architectural decisions adhere to the highest standards of data security and industry compliance.
  • Roadmap Execution: Collaborate with cross-functional product teams to translate strategic goals into technical execution plans.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership or senior technical role.
  • Technical Skills: Deep expertise in cloud platforms (AWS, Azure, or GCP), microservices architecture, and containerization (Docker, Kubernetes).
  • AI Proficiency: Strong understanding of machine learning frameworks (TensorFlow, PyTorch) and large language models (LLMs).
  • Problem Solving: Exceptional ability to solve complex technical problems and make data-driven architectural decisions.
  • Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.

Required Skills

Cloud Computing AWS Kubernetes Machine Learning System Architecture Python AI Strategy Leadership Agile

Ready to Take This Challenge?

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