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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Focus)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of next-generation autonomous systems designed to define the industry standard for 2026 and beyond.

At Nexus Horizon AI, we are not merely building software; we are architecting the future of human-computer interaction. You will operate at the critical intersection of Generative AI, Edge Computing, and Ethical AI frameworks to build scalable, robust, and intelligent infrastructures that will power enterprise solutions for the coming decade.

Key Highlights:
Pioneer the 2026 AI Landscape: Work on cutting-edge projects that set the benchmark for future AI capabilities.
Advanced Tech Stack: Utilize state-of-the-art hardware acceleration and cloud-native technologies.
Leadership Role: Mentor a team of elite engineers and drive architectural vision.

Responsibilities

  • Design and implement scalable AI architectures tailored for high-volume, low-latency environments required by 2026 standards.
  • Lead the Research and Development team in exploring emerging paradigms such as Neuro-symbolic AI and Edge-Cloud federated learning.
  • Collaborate with cross-functional teams to seamlessly integrate AI models into production-grade software ecosystems.
  • Establish industry-leading best practices for model governance, security, and explainability.
  • Mentor junior engineers and architects in advanced machine learning techniques and system design.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7+ years of experience in software engineering and machine learning architecture.
  • Deep proficiency in Python, C++, and modern containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying Large Language Models (LLMs) and Generative AI systems.
  • Strong understanding of hardware acceleration (TPU/GPU) and optimization strategies.

Required Skills

Python Machine Learning Deep Learning AI Architecture Docker Kubernetes C++ Edge Computing Generative AI

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