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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are pioneering the next era of artificial intelligence and are seeking a visionary Senior AI Architect to join our elite team in San Francisco. In this pivotal role, you will define the technical roadmap for our 2026 projects, focusing on scalable neural networks and autonomous decision-making systems. You will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are robust, ethical, and future-proof.

Responsibilities

  • Architect Future-Proof Systems: Lead the design and implementation of advanced machine learning models and neural architectures tailored for 2026 and beyond.
  • Optimize Performance: Drive research into model compression and inference optimization to ensure low-latency performance in real-time environments.
  • Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Work closely with product managers, researchers, and security teams to align AI capabilities with business goals.
  • Roadmap Development: Define and execute the technical strategy for upcoming product releases, identifying emerging technologies that provide competitive advantages.
  • Ethical AI Governance: Establish guidelines and frameworks to ensure responsible AI deployment and mitigate algorithmic bias.

Qualifications

  • Education: Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or lead role.
  • Technical Skills: Deep expertise in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
  • System Design: Proven ability to design large-scale distributed systems and handle big data processing pipelines.
  • Research Acumen: Strong background in academic research or contributing to open-source AI communities.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ TensorFlow PyTorch Machine Learning Deep Learning System Design Distributed Systems AI Ethics Cloud Architecture

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