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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Systems Initiative

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to the future of technology. Nexus Horizon is pioneering the infrastructure for the next decade. We are seeking a visionary Senior AI Architect to lead our 2026 Systems Initiative.

In this pivotal role, you will design and deploy autonomous AI frameworks that redefine human-machine interaction. You won't just be building software; you will be constructing the foundational logic of tomorrow's world. Join us in shaping a future where artificial intelligence seamlessly integrates into the fabric of daily life.

Why Nexus Horizon?

  • Work on high-impact, cutting-edge projects.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art offices.

We are looking for a thought leader who thrives in ambiguity and is obsessed with scalability and ethical AI implementation.

Responsibilities

  • Architect and implement scalable AI models for the 2026 Systems Initiative, focusing on predictive analytics and autonomous decision-making.
  • Lead a cross-functional team of engineers, data scientists, and product managers to deliver robust technical solutions.
  • Define the technical roadmap for future AI capabilities, ensuring alignment with long-term business goals.
  • Ensure the ethical use of AI by implementing rigorous testing and fairness protocols.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.
  • Collaborate with stakeholders to translate complex technical concepts into actionable business strategies.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, C++, and distributed systems.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of neural networks, natural language processing, and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Neural Networks Distributed Systems AI Architecture

Ready to Take This Challenge?

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