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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect (2026 Roadmap)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Nexus Horizon Systems is pioneering the 2026 era of artificial intelligence and autonomous systems. We are seeking a visionary Senior AI Architect to lead the technical direction of our upcoming generation of products.

As we look toward the 2026 landscape, the demand for robust, scalable, and efficient AI models is at an all-time high. In this role, you will not just write code; you will architect the future. You will be responsible for designing and deploying large-scale machine learning pipelines optimized for the next generation of hardware.

Why this role stands out:

  • Visionary Impact: Directly influence the 2026 roadmap and product strategy.
  • Top-Tier Compensation: Competitive base salary plus performance equity.
  • Flexible Work: Hybrid model with headquarters in the heart of San Francisco.

Responsibilities

  • Architect and lead the development of scalable deep learning models for 2026 product iterations.
  • Collaborate with cross-functional teams to define technical requirements and architecture.
  • Optimize existing neural networks for reduced latency and increased throughput on edge devices.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Conduct research into emerging AI paradigms relevant to the 2026 timeline.
  • Mentor junior engineers and foster a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in Machine Learning Engineering or AI Research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of distributed computing systems (Kubernetes, Docker) and cloud infrastructure (AWS/Azure/GCP).
  • Proven track record of deploying production-grade AI models at scale.
  • Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems MLOps AI Architecture Kubernetes Cloud Computing

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