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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the future of intelligence?

Nexus Horizon Tech is seeking a visionary Senior AI Architect to lead our 2026 roadmap. We are not just looking for someone who builds models; we are looking for a pioneer who defines the trajectory of Artificial General Intelligence (AGI) in the enterprise space.

In this pivotal role, you will be at the forefront of deploying next-generation Large Language Models (LLMs) and autonomous agents. You will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are scalable, secure, and ethical.

What you will do:

We are building the infrastructure for tomorrow. Your work will directly impact how businesses interact with data in 2026 and beyond.

Why join Nexus Horizon?

  • Work with a world-class team of PhDs and industry veterans.
  • Competitive equity and benefits package.
  • Flexible remote-first work culture.

Responsibilities

  • Architect and implement high-performance AI/ML pipelines designed for the 2026 technological landscape.
  • Lead the research and deployment of Generative AI models, focusing on hallucination reduction and accuracy.
  • Optimize inference latency and reduce compute costs for large-scale neural networks.
  • Establish MLOps best practices, ensuring continuous integration and deployment (CI/CD) for machine learning models.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with product teams to define AI features that solve complex user problems.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning Engineering, with at least 2 years in a lead architect role.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
  • Proven track record of deploying NLP or Computer Vision models to production.
  • Familiarity with AI ethics, fairness, and transparency standards.

Required Skills

Python Machine Learning Deep Learning NLP MLOps PyTorch TensorFlow AWS Kubernetes Generative AI AI Ethics

Ready to Take This Challenge?

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