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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 AI Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nexus Horizon Solutions is pioneering the technological landscape for the 2026 era. We are seeking a visionary Senior 2026 AI Architect to lead the development of next-generation artificial intelligence systems that will define the future of enterprise automation and human-computer interaction.

In this pivotal role, you will not just build models; you will architect ecosystems. You will work at the intersection of deep learning, quantum computing integration, and scalable cloud infrastructure. If you are passionate about solving complex problems and shaping the future of technology, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects with a world-class team.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first policy with a hub in the heart of San Francisco.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems for the 2026 roadmap.
  • Develop and optimize deep learning models for real-time processing and high-velocity data streams.
  • Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Evaluate and integrate emerging technologies, including predictive analytics and generative AI models.
  • Ensure system scalability, security, and performance optimization across cloud environments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Physics, or a related technical field (Ph.D. preferred).
  • 8+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and large language model (LLM) frameworks.
  • Proven track record of deploying production-grade AI models in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of data pipelines, ETL processes, and MLOps best practices.
  • Excellent leadership, communication, and problem-solving skills.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning MLOps Cloud Architecture AI Strategy Kubernetes

Ready to Take This Challenge?

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