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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision)

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Horizon Inc. is at the forefront of the technological revolution, architecting the systems that will define the digital landscape of 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to spearhead our next-generation infrastructure projects. In this high-impact role, you will not just build models; you will build the future.


We are looking for a thought leader who thrives in ambiguity and possesses a deep understanding of the intersection between Artificial Intelligence, Big Data, and scalable cloud architecture.

Responsibilities

  • Architect Future-Proof Systems: Design and implement robust, scalable AI architectures capable of handling 2026-scale workloads and emerging computational paradigms.
  • Lead Research & Development: Spearhead R&D initiatives in Generative AI, Neural Networks, and Edge Computing to push the boundaries of current technology.
  • Optimize Data Pipelines: Engineer high-throughput, low-latency data pipelines that power real-time decision-making engines.
  • Technical Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting advanced technical workshops.
  • Strategic Roadmapping: Collaborate with product leadership to define technical roadmaps that align with the company's 2026 vision.
  • Model Governance: Ensure all deployed AI models adhere to ethical guidelines, bias mitigation protocols, and regulatory compliance standards.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum of 5+ years of experience in AI/ML engineering, with at least 2 years in a senior or architect-level role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA; deep knowledge of distributed systems.
  • Cloud Mastery: Extensive experience designing and deploying solutions on major cloud providers (AWS, GCP, or Azure).
  • Problem Solving: Proven ability to solve complex technical challenges and optimize legacy systems for modern workloads.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.

Required Skills

Python Machine Learning Neural Networks TensorFlow PyTorch Cloud Architecture AWS GCP Distributed Systems Data Engineering NLP Computer Vision System Design

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