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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Focus)

Horizon Dynamics
Seattle
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the digital landscape of 2026? Horizon Dynamics is seeking a visionary Future-Ready AI Architect to lead the development of next-generation intelligent systems. We are building the infrastructure that will define the future of enterprise automation, focusing on scalable, ethical, and high-performance AI solutions. If you are passionate about the intersection of quantum computing, generative AI, and cloud architecture, this is your opportunity to drive innovation at scale.

Why Join Horizon Dynamics?

  • Work on cutting-edge projects that define the 2026 tech roadmap.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote-first culture with opportunities for in-office collaboration.
  • Access to state-of-the-art hardware and R&D resources.

Responsibilities

  • Architect and deploy scalable AI models tailored for the 2026 computing landscape, ensuring high throughput and low latency.
  • Lead the design of distributed systems that integrate Machine Learning (ML) with legacy infrastructure.
  • Oversee the end-to-end development lifecycle of AI products, from data ingestion to model deployment.
  • Collaborate with cross-functional teams to define product requirements and technical specifications.
  • Ensure system security, data privacy, and compliance with global AI regulations.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent professional experience).
  • Minimum of 8 years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Proven experience designing microservices and containerized applications using Docker and Kubernetes.
  • Strong understanding of generative AI models, large language models (LLMs), and prompt engineering.
  • Experience with quantum computing concepts and their practical application in software design.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture Kubernetes Docker Quantum Computing System Design Generative AI

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