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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026)

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Horizon is seeking a visionary Senior AI Architect (2026) to lead our next-generation predictive modeling initiatives. In this pivotal role, you will define the technical roadmap for our AI infrastructure, ensuring our solutions remain at the cutting edge of technology well into the future. You will work with a world-class team to deploy scalable, ethical, and transformative AI systems that redefine industry standards. If you are passionate about the future of Artificial Intelligence and want to build the foundations for 2026 and beyond, we want to hear from you.

Responsibilities

  • Lead the end-to-end design, development, and deployment of advanced machine learning models and neural networks.
  • Architect scalable MLOps pipelines to ensure seamless model training, validation, and productionization.
  • Collaborate with cross-functional teams to integrate AI solutions into complex software ecosystems.
  • Define technical strategies for ethical AI, ensuring transparency and fairness in algorithmic decision-making.
  • Stay ahead of emerging AI trends and evaluate new technologies (e.g., Quantum AI, WebGPU) to drive innovation.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • 7+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and MLOps tools (Docker, Kubernetes, MLflow).
  • Proven track record of deploying large-scale NLP and computer vision models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and high-performance computing.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python MLOps PyTorch TensorFlow NLP Computer Vision Cloud Computing System Design

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