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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Vision 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the Future of Technology.

Nexus Horizon Systems is pioneering the infrastructure for the 2026 era. We are seeking a visionary Senior AI Architect to lead our R&D division, focusing on Generative AI, Large Language Models (LLMs), and autonomous agent systems. This is a high-impact role where you will define the technical roadmap for our next-generation products.

You will be at the forefront of innovation, working with a world-class team to solve complex problems that define the future of enterprise automation. If you are passionate about pushing the boundaries of artificial intelligence and have a strategic mindset, we want to hear from you.

Responsibilities

  • Architect Vision: Design and implement scalable, high-performance AI architectures specifically tailored for the 2026 technological landscape.
  • R&D Leadership: Lead research initiatives in Generative AI and Deep Learning to stay ahead of industry trends.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Roadmap: Collaborate with product leaders to translate business goals into technical AI roadmaps.
  • System Optimization: Optimize existing models for speed, accuracy, and resource efficiency.
  • Security & Compliance: Ensure all AI deployments adhere to strict data privacy and security standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural or leadership role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems using data-driven approaches.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Docker Kubernetes Leadership Strategy

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