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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Future Tech Strategy

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to architect scalable, autonomous systems that will define the future of human-machine interaction.

In this role, you will bridge the gap between theoretical research and production-grade engineering, leading a team of elite engineers in building the infrastructure that powers our next generation of intelligent products. If you are passionate about the trajectory of technology and want to leave a lasting impact on the industry, we want to hear from you.

Responsibilities

  • Architect and design scalable machine learning pipelines and infrastructure for large-scale deployments.
  • Lead research initiatives in Generative AI, NLP, and autonomous decision-making systems.
  • Define technical roadmaps and architectural standards to ensure system reliability and scalability.
  • Collaborate with cross-functional product teams to translate business requirements into technical solutions.
  • Mentor junior engineers and senior staff, fostering a culture of innovation and technical excellence.
  • Evaluate and integrate emerging technologies to maintain a competitive edge in the tech landscape.
  • Conduct code reviews and ensure rigorous testing standards across the engineering organization.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field (or equivalent extensive industry experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep proficiency in Python, C++, and modern ML frameworks such as PyTorch or TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with Large Language Models (LLMs) and MLOps best practices.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Demonstrated leadership experience in managing high-performance engineering teams.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Kubernetes AWS MLOps Leadership

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