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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Shaping the Future of 2026

Nexus Horizon Labs
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are building the infrastructure for the next decade. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our research and development in cutting-edge artificial intelligence. As we look toward the technological landscape of 2026, you will be instrumental in designing scalable, secure, and ethical AI systems that redefine human-machine interaction.

In this role, you will bridge the gap between theoretical research and practical application, working on large-scale generative models, autonomous agents, and next-generation neural architectures. If you are passionate about the future of technology and want to leave a lasting legacy, this is your opportunity to lead from the front.

Responsibilities

  • Architect and design scalable AI infrastructure and machine learning pipelines for future-proof applications.
  • Lead architectural reviews and technical strategy for our 2026 product roadmap, focusing on LLMs and edge computing.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
  • Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
  • Optimize model performance, reduce latency, and ensure high availability across distributed systems.
  • Stay abreast of the latest advancements in AI research and implement best practices for ethical AI and bias mitigation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of leading high-impact projects from concept to deployment.
  • Master's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture TensorFlow PyTorch System Design Kubernetes AWS AI Strategy

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