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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Focus)

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

Job Description

Join Nexus Horizon Labs, the pioneers of next-generation artificial intelligence, as we define the landscape of 2026 and beyond. We are seeking a visionary AI Architect to lead the architectural design of our autonomous systems.

In this pivotal role, you will not just build software; you will architect the intelligence that powers our future. You will bridge the gap between theoretical AI research and scalable production systems, ensuring our platform remains at the cutting edge of the 2026 tech ecosystem.

Why join us?

  • Work on mission-critical projects that redefine human-machine interaction.
  • Competitive compensation package with equity options.
  • Flexible work environment with a focus on innovation and autonomy.

Responsibilities

  • Architect Future Systems: Design and implement scalable, high-performance AI infrastructure capable of handling massive data streams in real-time.
  • 2026 Roadmap Planning: Lead the technical vision for upcoming product releases, anticipating industry shifts and integrating emerging technologies.
  • Model Optimization: Drive the optimization of large language models and neural networks for latency reduction and cost efficiency.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Cloud Infrastructure: Manage the deployment of models across distributed cloud environments, ensuring 99.99% uptime and security compliance.
  • R&D Integration: Evaluate and integrate bleeding-edge AI tools and frameworks into the core development pipeline.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 5+ years of experience in software architecture, specifically within the machine learning or AI domain.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS, GCP, or Azure).
  • System Design: Strong understanding of microservices, distributed systems, and high-availability architecture.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
  • Communication: Exceptional ability to translate complex technical concepts into clear, actionable business strategies for stakeholders.

Required Skills

Python TensorFlow AWS System Design Machine Learning Distributed Systems Microservices Cloud Computing Neural Networks

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