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Senior AI Architect - Shaping the Future of 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Future is Now. Nexus Horizon is at the forefront of defining the technological landscape for the year 2026. We are looking for a visionary Senior AI Architect to lead our R&D division, bridging the gap between theoretical AI models and scalable, real-world applications. In this role, you will architect systems that are not just advanced today, but resilient and innovative for the decade ahead.


You will work with a world-class team of data scientists, engineers, and product leaders to build the core infrastructure of our next-generation platform. If you are passionate about the trajectory of Artificial Intelligence and want to leave a legacy in the tech world, we want to meet you.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable AI infrastructure and machine learning pipelines optimized for high-throughput environments.
  • Lead R&D Initiatives: Spearhead research projects focused on predictive analytics and autonomous systems, specifically aligned with 2026 technological trends.
  • Team Mentorship: Guide a team of junior architects and data engineers, fostering a culture of innovation, code quality, and continuous learning.
  • Strategic Roadmapping: Collaborate with C-suite executives to define the technical vision and long-term goals for AI integration across the company.
  • Optimization & Scalability: Oversee the migration of legacy systems to cloud-native architectures, ensuring zero downtime and maximum efficiency.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent years of experience).
  • Experience: 8+ years of experience in software architecture, with a minimum of 3 years specifically in AI/ML engineering and leadership.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/Azure).
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex project lifecycles from conception to deployment.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, high-stakes technical problems.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning Distributed Systems Cloud Architecture Leadership AI Strategy

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