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Senior AI Architect - FutureTech 2026

FutureTech 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the technological landscape of the future? FutureTech 2026 is at the forefront of next-generation artificial intelligence and quantum computing integration. We are looking for a visionary Senior AI Architect to lead our R&D division and engineer solutions that will define the industry standards for the coming decade.


In this role, you will bridge the gap between theoretical research and practical application, ensuring our AI systems are scalable, ethical, and capable of solving complex, real-world problems.

Responsibilities

  • Design and architect scalable AI infrastructure and machine learning pipelines for high-volume production environments.
  • Lead the research and implementation of cutting-edge algorithms, including Generative AI and Large Language Models (LLMs).
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
  • Oversee the deployment of AI models using cloud-native technologies, ensuring high availability and low latency.
  • Establish best practices for data governance, model monitoring, and ethical AI usage.
  • Mentor junior architects and data scientists, fostering a culture of continuous learning and innovation.
  • Conduct technical evaluations of emerging technologies to keep our stack ahead of the curve.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Minimum of 8+ years of experience in designing and implementing large-scale machine learning systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud architecture (AWS, Azure, or GCP), and containerization (Docker, Kubernetes).
  • Proven experience with MLOps, model versioning, and CI/CD pipelines for AI.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with ethical AI frameworks and bias mitigation strategies.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Architecture AWS Docker Kubernetes NLP Generative AI

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