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Information Technology 🏒 Full Time ⭐️ Verified

AI Systems Architect (2026 Vision)

Quantum Horizon Labs
New York
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

We are seeking a visionary AI Systems Architect (2026 Vision) to lead the next generation of intelligent infrastructure. As we prepare to deploy autonomous agents and generative AI systems at scale, you will define the architectural roadmap that powers our platform through 2026 and beyond.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade software engineering. You will be responsible for designing resilient, scalable systems that handle millions of transactions while maintaining low latency and high accuracy.

Why Join Us?

  • Shape the future of AI infrastructure.
  • Work with cutting-edge LLMs and robotics.
  • Competitive equity package and remote-first flexibility.

Responsibilities

  • Define and execute the long-term technical architecture for AI systems, specifically targeting the 2026 deployment cycle.
  • Design and implement scalable machine learning pipelines using cloud-native technologies (AWS/GCP/Azure).
  • Lead the integration of Large Language Models (LLMs) into enterprise workflows to enhance automation.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct code reviews and architectural assessments to ensure system reliability and security.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Stay ahead of industry trends to recommend emerging technologies that drive competitive advantage.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in distributed systems, microservices architecture, and cloud computing.
  • Experience with real-time data processing and large-scale model training.
  • Proven track record of leading cross-functional teams in high-growth environments.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).

Required Skills

Python Machine Learning Cloud Architecture TensorFlow PyTorch Docker Kubernetes AWS Microservices LLMs System Design

Ready to Take This Challenge?

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