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Information Technology 🏢 Full Time ⭐️ Verified

Lead Future Tech Architect (2026 Vision) - San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Lead Future Tech Architect to define the technological landscape of 2026. As we stand on the precipice of a new era of AI and digital transformation, you will be responsible for architecting the systems that will power our operations and products for the foreseeable future. This is an opportunity to build the infrastructure of tomorrow, today.

Key Highlights:

  • Lead the strategic integration of Generative AI and Quantum Readiness into core product lines.
  • Design scalable, high-performance cloud architectures for global deployment.
  • Shape the engineering culture around innovation and futuristic problem-solving.
  • Collaborate with C-level executives to translate 2026 business goals into technical roadmaps.

Responsibilities

  • Architect robust, scalable, and secure software systems capable of handling next-generation data loads.
  • Oversee the research and development of AI-driven features that define the 2026 user experience.
  • Mentor and lead a high-performing team of senior engineers and data scientists.
  • Evaluate emerging technologies (AI, AR/VR, Edge Computing) and integrate viable solutions.
  • Ensure all architectural decisions align with long-term business sustainability and security standards.
  • Drive technical decision-making processes and establish best practices for the engineering department.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred.
  • 10+ years of software engineering experience, with at least 5 years in a leadership or architectural role.
  • Deep expertise in Python, Java, or Go, and modern cloud platforms (AWS, GCP, or Azure).
  • Strong background in Machine Learning, Deep Learning, and Large Language Models (LLMs).
  • Experience with microservices architecture, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Excellent communication skills with the ability to bridge the gap between technical teams and business stakeholders.

Required Skills

Python Machine Learning Cloud Architecture System Design Kubernetes AWS Generative AI Leadership

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