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Senior AI Architect - Future Tech 2026

Vertex Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the technological roadmap for our 2026 breakthrough initiatives. At Vertex Horizon Systems, we are not just building software; we are engineering the future. You will be at the forefront of integrating advanced neural networks with scalable cloud infrastructure to solve complex, real-world problems. If you are passionate about pushing the boundaries of what is possible and want to define the standard for Artificial Intelligence in the coming years, this is your opportunity.

Why Join Us?

  • Work on cutting-edge projects that will define the industry landscape.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work culture.

Responsibilities

  • Architect and design scalable, high-performance AI and Machine Learning systems tailored for future enterprise needs.
  • Lead the R&D strategy for the 2026 product roadmap, ensuring technical feasibility and innovation.
  • Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and cost-efficiency.
  • Mentor junior engineers and establish best practices for AI development.
  • Stay ahead of industry trends, including advancements in Generative AI and Quantum Computing integration.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Minimum of 6+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Deep proficiency in programming languages such as Python, Java, or C++.
  • Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and MLOps tools.
  • Strong understanding of cloud platforms (AWS, Azure, or GCP).
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Architecture AWS Azure Docker Kubernetes System Design Neural Networks Generative AI

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