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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Horizon Systems
New York
Estimated Salary
USD 160.000 – USD 230.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Systems is pioneering the technological landscape for 2026 and beyond. We are looking for a visionary Future-Ready AI Architect to design scalable, intelligent systems that will define the next era of digital transformation. If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.

In this role, you will lead the charge in integrating cutting-edge Machine Learning and Generative AI solutions into our core infrastructure, ensuring our platforms remain ahead of the curve in a rapidly evolving market.

Responsibilities

  • Architect & Deploy: Design and implement robust AI/ML architectures using Python, TensorFlow, and PyTorch for scalable applications.
  • Generative AI Leadership: Spearhead the development and optimization of Large Language Models (LLMs) and generative AI pipelines.
  • System Optimization: Enhance model inference speeds and reduce latency to ensure real-time performance for enterprise clients.
  • Ethical AI Governance: Establish guidelines and frameworks for responsible AI usage, ensuring compliance with data privacy regulations.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to translate complex technical requirements into user-centric solutions.
  • MLOps Implementation: Set up CI/CD pipelines and MLOps workflows to automate model training, testing, and deployment.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in AI engineering, machine learning, or software development.
  • Technical Skills: Proficiency in Python, SQL, and experience with cloud platforms (AWS, GCP, or Azure).
  • Specialization: Deep understanding of Neural Networks, Natural Language Processing (NLP), and Computer Vision.
  • Tools: Experience with version control (Git), containerization (Docker/Kubernetes), and MLOps tools (MLflow, Kubeflow).
  • Soft Skills: Strong problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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