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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future-Tech Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the frontier of technology. Nexus Horizon Labs is looking for a visionary Senior AI & Future-Tech Systems Architect to define the infrastructure of 2026 and beyond.

In an era defined by rapid technological evolution, we are building the next generation of autonomous systems, integrating quantum-ready frameworks, and pioneering decentralized identity solutions. If you are passionate about architecting the impossible and leading high-performance engineering teams, this is your opportunity to shape the future.

Why Join Us?

  • Work on cutting-edge projects that define the roadmap for the next decade.
  • Competitive compensation and equity package.
  • Flexible work environment in the heart of San Francisco.

Responsibilities

  • Design and implement scalable, high-availability AI architectures capable of handling petabyte-scale data streams by 2026.
  • Lead the integration of emerging technologies, including Quantum Computing primitives and Web5 decentralized protocols.
  • Define technical roadmaps for the next-generation AI infrastructure, ensuring alignment with business goals.
  • Mentor and cultivate a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional partners to translate complex business requirements into robust technical solutions.
  • Conduct rigorous code reviews and architectural assessments to ensure system integrity and security.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural or lead role.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and large language models (LLMs).
  • Strong proficiency in systems programming languages such as Rust, Go, or C++.
  • Proven track record of delivering complex technical projects in fast-paced environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Quantum Computing Rust Go Python TensorFlow PyTorch Kubernetes DevOps

Ready to Take This Challenge?

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