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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are redefining the boundaries of technology to build the infrastructure of tomorrow. Nexus Horizon Solutions is seeking a visionary Future Tech Architect to lead our research and development into 2026 and beyond. You will be at the forefront of integrating Generative AI, Quantum-ready architectures, and sustainable compute solutions.

In this pivotal role, you won't just write code; you will architect the future. We are looking for a thought leader who can bridge the gap between theoretical innovation and scalable, production-ready systems.

Why Join Us?

  • Work with a world-class team of AI researchers and software engineers.
  • Shape the roadmap for 2026 and beyond.
  • Competitive compensation package including equity and remote-first flexibility.

Responsibilities

  • Architect Future-Proof Systems: Design scalable cloud infrastructure capable of supporting next-gen AI workloads and quantum computing protocols.
  • AI Integration Strategy: Lead the integration of Large Language Models (LLMs) and autonomous agents into core business workflows.
  • R&D Leadership: Spearhead research initiatives focused on synthetic data generation and neural network optimization.
  • Technical Mentorship: Guide a team of senior engineers and data scientists in adopting emerging technologies.
  • Security & Compliance: Implement robust security frameworks for decentralized systems and edge computing environments.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership.

Qualifications

  • Experience: 8+ years of software engineering experience with at least 3 years in a lead or architect role.
  • Education: Bachelor’s or Master’s degree in Computer Science, Physics, or a related technical field.
  • Technical Stack: Deep expertise in Python, Go, Rust, and Kubernetes.
  • AI/ML Knowledge: Hands-on experience with MLOps, PyTorch, or TensorFlow, specifically in production environments.
  • Strategic Vision: Proven track record of predicting tech trends and implementing long-term technical roadmaps.
  • Soft Skills: Exceptional communication skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Python Kubernetes System Design Quantum Computing Generative AI MLOps Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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