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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect

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

Job Description

We are seeking a visionary Lead AI Architect to join our elite team in San Francisco. As we prepare to define the technological landscape of the 2026 era, you will be at the forefront of building scalable, secure, and cutting-edge artificial intelligence infrastructure. You will define the technical strategy for our next-generation LLM platforms, ensuring our solutions are robust, future-proof, and ethically sound.

Why Join Us?

  • Work on projects that set the standard for 2026 technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities.

If you are passionate about the intersection of human intelligence and machine learning, we want to hear from you.

Responsibilities

  • Architect and design end-to-end machine learning pipelines and scalable data infrastructure.
  • Lead the research and implementation of Generative AI models, including LLMs and diffusion models.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate business requirements into technical solutions.
  • Optimize model performance, latency, and cost efficiency for production environments.
  • Establish best practices for code quality, testing, and deployment (MLOps).
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in software engineering, with a strong focus on Machine Learning and Deep Learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Proven experience designing and deploying models on cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, computer vision, or reinforcement learning.
  • Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps AWS GCP Kubernetes Docker System Design

Ready to Take This Challenge?

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