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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026?

Nexus Future Systems is on a mission to pioneer the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Architect to lead our 2026 Horizon Initiative, a cutting-edge project aimed at bridging the gap between generative models and predictive quantum computing.

In this role, you will not just write code; you will architect the future. You will work alongside world-class engineers and data scientists to deploy scalable, high-performance systems that will set industry standards for the coming decade. If you thrive in a fast-paced, high-stakes environment and want to leave a lasting legacy in tech, we want to hear from you.

Responsibilities

  • Architecting the Future: Design and implement scalable AI infrastructure specifically tailored for the 2026 Horizon roadmap, ensuring robustness and scalability.
  • Model Development: Lead the development of advanced neural networks and deep learning models to solve complex, unstructured problems.
  • Team Leadership: Mentor a team of junior data scientists and machine learning engineers, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Oversee the optimization of training pipelines and inference engines to achieve real-time processing speeds.
  • Strategic Roadmapping: Collaborate with C-level executives to define technical strategies that align with the company’s long-term vision for 2026 and beyond.
  • Research Integration: Stay ahead of the curve by integrating the latest breakthroughs in AI research into our production systems.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Spark).
  • System Design: Proven track record of designing large-scale systems that handle millions of requests per second.
  • Problem Solving: Exceptional ability to deconstruct complex problems and derive elegant, efficient solutions.
  • Communication: Excellent verbal and written communication skills, capable of translating technical jargon for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Cloud Computing Kubernetes Data Science

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