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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. We are building the infrastructure that will power the future of human-computer interaction, and we need a leader who understands not just the code of today, but the architecture of tomorrow.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for architecting resilient, high-performance AI models that anticipate market needs and set industry standards for the coming years.

Responsibilities

  • Architect Next-Gen Systems: Design and deploy scalable machine learning infrastructure capable of supporting 2026-scale data volumes and computational demands.
  • Lead R&D Initiatives: Spearhead research into Generative AI, Large Language Models (LLMs), and autonomous agent frameworks.
  • Model Optimization: Optimize existing models for latency, accuracy, and energy efficiency to ensure sustainable AI operations.
  • Ethical AI Governance: Implement robust frameworks for bias detection, data privacy, and responsible AI deployment.
  • Cross-Functional Leadership: Collaborate with product teams, data scientists, and security experts to integrate AI solutions seamlessly into our ecosystem.
  • Talent Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of professional experience in software engineering with a focus on AI/ML.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps tools (Kubeflow, MLflow) is required.
  • System Design: Proven track record of designing distributed systems and microservices architecture.
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative solutions.
  • Communication: Excellent verbal and written communication skills, capable of translating technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch MLOps System Architecture Deep Learning Generative AI

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