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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Tech Architect (2026 Vision)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Technology with Us

We are Quantum Horizon Labs, a pioneer in next-generation computing and AI integration. As we prepare for our major 2026 rollout, we are seeking a visionary Senior Future Tech Architect to lead our strategic technical roadmap. You will be at the forefront of designing the infrastructure that will define the future of our industry. If you have a passion for cutting-edge technology and a knack for translating complex concepts into scalable solutions, we want to hear from you.

Why Join Us?

  • Work with a world-class team of engineers and strategists.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with premium office amenities in SF.

Responsibilities

  • Strategic Roadmapping: Define and execute the comprehensive technical roadmap for the 2026 product suite, ensuring alignment with business objectives.
  • AI & ML Integration: Lead the architectural design and implementation of advanced AI and Machine Learning models to drive automation and efficiency.
  • System Architecture: Design scalable, secure, and high-performance cloud infrastructure (AWS/Azure) capable of supporting millions of users.
  • Trend Analysis: Continuously monitor emerging technologies (Blockchain, Quantum Computing, GenAI) to identify opportunities for innovation.
  • Team Leadership: Mentor senior engineers and conduct technical reviews to maintain the highest standards of code quality and architecture.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Technical Skills: Deep expertise in Python, Java, or Go; strong understanding of distributed systems and microservices.
  • AI Proficiency: Proven track record of integrating AI/LLMs into production environments (LangChain, TensorFlow, PyTorch).
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex projects from conception to deployment.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

System Architecture AI/ML Cloud Computing Python Java Microservices Agile Methodologies Strategic Planning

Ready to Take This Challenge?

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