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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect: 2026 AI Systems

Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the systems that will define the technological landscape of 2026? Horizon Systems is seeking a visionary Future Tech Architect to lead our next-generation AI infrastructure initiatives. In this pivotal role, you will bridge the gap between cutting-edge research and scalable production environments, ensuring our platforms remain at the forefront of innovation.

Join a team of elite engineers and strategists dedicated to solving the complex challenges of tomorrow. You will have the autonomy to design robust architectures, mentor high-performing teams, and drive the adoption of emerging technologies. If you are passionate about shaping the future and possess a deep understanding of artificial intelligence and cloud scalability, we want to hear from you.

Responsibilities

  • Design and deploy scalable AI systems capable of handling 2026-scale data requirements.
  • Lead architectural decision-making for high-availability cloud infrastructure on AWS and Azure.
  • Collaborate with cross-functional teams to integrate predictive analytics into core business products.
  • Define technical roadmaps for future tech adoption, focusing on generative AI and quantum readiness.
  • Mentor junior engineers and conduct code reviews to ensure best practices in security and performance.
  • Optimize existing systems for latency reduction and cost efficiency in dynamic environments.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven expertise in Python, TensorFlow, PyTorch, and modern data processing frameworks.
  • Deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Experience with large language models (LLMs) and NLP pipelines.
  • Strong leadership skills with a track record of managing diverse engineering teams.

Required Skills

Python TensorFlow AWS Azure Kubernetes Machine Learning System Design AI Architecture Leadership

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