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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect for 2026 Roadmap

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to define the technological landscape for the year 2026. Nexus Horizon is building the infrastructure for the next generation of autonomous agents and hyper-personalized user experiences. You will be at the intersection of deep learning, predictive analytics, and scalable system design.

In this role, you will not just implement existing solutions; you will architect the core frameworks that will power our products for the next decade. If you are passionate about the future of technology and want to leave a lasting legacy in the industry, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, high-performance backend architectures capable of handling billions of real-time data points.
  • Lead the 2026 Roadmap: Define the technical strategy and milestones for upcoming AI releases, focusing on autonomous decision-making models.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimization & Efficiency: Drive initiatives to reduce latency and improve model inference speed by 40%.
  • Cross-Functional Collaboration: Work closely with product managers and designers to translate complex AI capabilities into intuitive user interfaces.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a leadership or architectural role.
  • Technical Stack: Proficiency in Python, TensorFlow/PyTorch, and distributed systems (Kubernetes, Docker).
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs) and generative AI trends leading up to 2026.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow Kubernetes Leadership Distributed Systems

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