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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

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

Job Description

We are Nexus Horizon Labs, a pioneering force in next-generation technology. We are currently seeking a Senior AI Architect to spearhead our roadmap for 2026. This is not just a job; it is an opportunity to define the future of artificial intelligence and machine learning infrastructure. You will be at the forefront of developing scalable, autonomous systems that will redefine how humans interact with technology.

If you are a visionary engineer passionate about the intersection of deep learning, neural networks, and cloud scalability, we want to meet you.

Responsibilities

  • Architect and design end-to-end AI systems capable of handling petabyte-scale data streams.
  • Lead the technical strategy for our 2026 roadmap, integrating cutting-edge LLMs and generative models.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
  • Optimize model performance, ensuring low-latency inference in high-traffic environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure robust security, privacy, and ethical standards in all AI deployments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Proven expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong track record of delivering complex projects on time and within budget.

Required Skills

Python Machine Learning Deep Learning NLP LLM TensorFlow PyTorch Cloud Architecture Docker Kubernetes AWS

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