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Information Technology 🏢 Full Time ⭐️ Verified

Strategic AI Architect: 2026 Vision

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

Job Description

We are seeking a visionary Strategic AI Architect to define the technological roadmap for the year 2026. In this high-impact role, you will bridge the gap between cutting-edge AI research and scalable enterprise implementation. You will lead our team in leveraging generative models and next-gen computing paradigms to solve complex business problems. This is a rare opportunity to shape the future of our organization and define the standards for emerging technology.

Why Join Us?

At Nexus Horizon, we don't just predict the future; we build it. You will work with a team of elite engineers and data scientists in a dynamic environment that rewards innovation and strategic thinking.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic vision for AI integration, identifying emerging technologies that will define the next generation of our platform.
  • R&D Leadership: Oversee research and development initiatives in predictive AI, autonomous systems, and neural architecture search.
  • System Architecture: Design and implement robust, scalable architectures that support high-throughput data processing and real-time inference.
  • Talent Development: Mentor senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business objectives into technical execution plans.

Qualifications

  • Experience: 10+ years of experience in software engineering, system architecture, and artificial intelligence.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, or equivalent machine learning frameworks.
  • Strategic Mindset: Proven track record of leading technical strategy from conception to production deployment.
  • Cloud Mastery: Strong experience with cloud-native architectures (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Strategic Planning TensorFlow PyTorch

Ready to Take This Challenge?

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