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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Initiative

Nexus Horizon Solutions
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future of Technology with the 2026 Initiative

Are you a visionary architect ready to define the technological landscape of the next decade? Nexus Horizon Solutions is seeking a world-class Lead AI Architect to spearhead our '2026 Initiative.' In this pivotal role, you will bridge the gap between cutting-edge generative AI and scalable enterprise infrastructure, ensuring we remain at the forefront of innovation.

We are not just building software; we are crafting the operational framework for a smarter world. If you thrive in high-stakes environments and possess a passion for solving complex problems with elegant solutions, we want to meet you.

Why Join Nexus Horizon?

  • Impactful Work: Directly influence the strategic direction of AI integration for Fortune 500 clients.
  • Modern Stack: Work with the latest in LLMs, Transformers, and quantum-ready cloud architectures.
  • Competitive Compensation: Annual salary range of $180,000 - $250,000, plus equity and performance bonuses.
  • Global Flexibility: Hybrid work model based in our New York headquarters.

Responsibilities

  • Architect and design scalable AI infrastructure aligned with the 2026 strategic roadmap.
  • Lead the integration of Generative AI models into core enterprise systems.
  • Mentor and guide a team of senior engineers and data scientists.
  • Define technical standards, best practices, and governance for AI deployment.
  • Conduct rigorous performance testing and optimization for future-proof scalability.
  • Collaborate with cross-functional stakeholders to translate business goals into technical architecture.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps practices.
  • Proven track record of designing large-scale distributed systems on AWS, Azure, or GCP.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred).
  • Exceptional leadership skills with the ability to drive technical vision in a fast-paced environment.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Machine Learning Deep Learning System Architecture NLP LLMs MLOps Docker Kubernetes Leadership

Ready to Take This Challenge?

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