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Information Technology 🏒 Full Time ⭐️ Verified

2026 Horizon AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cusp of a technological revolution. Nexus Future Systems is seeking a visionary 2026 Horizon AI Architect to design and implement the infrastructure that will define the future of intelligent automation. In this role, you won't just build applications; you will architect the very systems that will power our operations through 2026 and beyond.

As a leader in the space, you will bridge the gap between theoretical AI capabilities and scalable, production-grade engineering solutions.

Responsibilities

  • Lead the architectural vision for next-generation AI models and neural networks.
  • Design scalable microservices and cloud infrastructure to support high-volume data processing.
  • Collaborate with cross-functional product teams to translate futuristic concepts into viable product roadmaps.
  • Implement best practices for MLOps, ensuring model deployment, monitoring, and retraining pipelines are robust.
  • Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
  • Conduct research on emerging technologies, including generative AI and quantum computing interfaces, to stay ahead of the curve.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of experience in software engineering with a focus on AI/ML systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading technical teams and managing large-scale projects.
  • Strong understanding of data structures, algorithms, and system design patterns.
  • Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing MLOps Leadership

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