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Senior AI Architect - 2026 Vision

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

Job Description

We are seeking a visionary Senior AI Architect to join our elite team at Aether Dynamics. As we prepare for the technological leap into 2026, we need a leader who can bridge the gap between theoretical AI and scalable, real-world infrastructure. In this role, you will define the architectural framework for our next-generation neural networks and autonomous systems.

At Aether Dynamics, we don't just predict the future; we build it. You will work on cutting-edge projects involving generative AI, predictive analytics, and edge computing, ensuring our solutions are robust, secure, and future-proof. If you are passionate about pushing the boundaries of what is possible in technology, this is your opportunity to shape the industry landscape.

Responsibilities

  • Architect and design scalable AI and machine learning infrastructure capable of handling petabyte-scale data.
  • Lead the strategic roadmap for the 2026 tech stack, integrating emerging technologies such as quantum-inspired algorithms.
  • Oversee the deployment of large language models (LLMs) and ensure high availability and low latency.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical solutions.
  • Conduct rigorous testing and optimization of neural networks to improve accuracy and efficiency.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern cloud-native technologies (AWS, GCP, Azure).
  • Proven experience designing microservices and containerized applications using Kubernetes and Docker.
  • Strong understanding of data engineering, distributed systems, and high-performance computing.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Kubernetes AWS Data Engineering AI Strategy NLP Neural Networks Docker Microservices Scala Go

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