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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

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

Job Description

We are looking for a visionary Future-Ready AI Architect to lead our research into autonomous systems. In 2026, the lines between human and machine intelligence will blur. You will be at the forefront of this evolution, designing the frameworks that define the next decade of technological advancement.

Why Join Us? At Nexus Horizon, we don't just predict trends; we set them. You will have the autonomy to experiment with bleeding-edge technologies, from multi-modal Large Language Models (LLMs) to agentic workflows, all while shaping the ethical standards of a new era.

Responsibilities

  • Design and implement advanced agentic workflows capable of autonomous decision-making.
  • Oversee the integration of multi-modal AI models into our core infrastructure.
  • Lead the technical roadmap for next-generation automation and predictive analytics.
  • Establish best practices for AI safety, ethics, and bias mitigation.
  • Collaborate with cross-functional teams to translate complex AI capabilities into user-centric products.
  • Mentor a team of top-tier engineers and researchers in emerging technologies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7 years of experience in machine learning engineering, software architecture, or AI research.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and LLM architecture.
  • Proven track record of deploying scalable AI solutions in production environments.
  • Strong understanding of NLP, computer vision, or reinforcement learning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning LLMs Cloud Architecture NLP Agentic Workflows

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