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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

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

Job Description

We are on a mission to redefine the technological landscape leading up to 2026 and beyond. Nexus Horizon is seeking a visionary Senior AI & Future Tech Architect to spearhead our infrastructure initiatives. You will be at the forefront of integrating cutting-edge Artificial Intelligence with scalable cloud architectures. If you are passionate about building systems that are not just functional, but revolutionary, we want to hear from you.


Why Join Us?

  • Work on projects that define the future of human-machine interaction.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Access to the latest research in LLMs and Quantum Computing.

Don't just build software; build the future.

Responsibilities

  • Design and architect scalable AI infrastructure capable of handling high-velocity data streams for the 2026 era.
  • Lead the implementation of Large Language Model (LLM) integration strategies across enterprise applications.
  • Optimize cloud-native environments (AWS/Azure) for maximum performance and cost-efficiency.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate with cross-functional teams to define technical strategies and roadmaps.
  • Ensure system security, reliability, and compliance with industry standards.
  • Research and prototype emerging technologies to keep our stack ahead of the curve.

Qualifications

  • 7+ years of experience in software engineering, systems architecture, or related fields.
  • Deep expertise in Python, Go, or Rust.
  • Proven experience designing distributed systems using microservices architecture.
  • Familiarity with containerization (Docker, Kubernetes) and orchestration tools.
  • Strong understanding of Machine Learning operations (MLOps) and CI/CD pipelines.
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.
  • Experience with cloud providers (AWS, GCP, or Azure) is highly preferred.

Required Skills

Python Rust Kubernetes Docker AWS Machine Learning MLOps System Architecture Cloud Computing AI Big Data

Ready to Take This Challenge?

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