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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon

Nexus 2026
New York
Estimated Salary
USD 165.000 – USD 240.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are a pioneering force in next-generation artificial intelligence, dedicated to defining the technological landscape of 2026 and beyond. As a Senior AI Architect at Nexus 2026, you will lead the design and implementation of scalable, agentic AI systems that transform how enterprises interact with data. We are seeking a visionary engineer who thrives on ambiguity and is ready to build the infrastructure for the future.

Why Join Us?

  • Future-Forward Impact: Work on projects that are shaping the roadmap for the next decade.
  • Competitive Compensation: A top-tier salary package reflecting your expertise.
  • Innovative Culture: Collaborate with world-class engineers and data scientists.

Responsibilities

  • Architect Intelligent Systems: Design robust, fault-tolerant AI architectures capable of handling high-volume data streams and complex decision-making processes for the 2026 era.
  • Lead Technical Strategy: Define the technical vision for our 2026 roadmap, translating business goals into scalable technical solutions.
  • Drive Research: Spearhead research initiatives in Large Language Models (LLMs), generative AI, and autonomous agents.
  • Mentorship: Guide junior engineers and architects, fostering a culture of continuous learning and innovation.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to deliver cutting-edge products.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 10+ years of software engineering experience, with at least 5 years specifically focused on AI/ML systems architecture.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Cloud Mastery: Proven experience designing scalable systems on AWS, Azure, or Google Cloud Platform.
  • Leadership: Demonstrated ability to lead technical teams and drive projects from conception to deployment.

Required Skills

Python Machine Learning TensorFlow PyTorch AWS Kubernetes System Architecture Deep Learning NLP

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