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Senior AI Architect - 2026 Roadmap

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

Job Description

We are seeking a visionary Senior AI Architect to define the technological blueprint for the year 2026. At Aether Dynamics, we are building the infrastructure of tomorrow, focusing on next-generation generative AI and autonomous systems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to lead a team that is shaping the future, we want to hear from you.

In this pivotal role, you will not just write code; you will architect the core logic that powers our upcoming breakthrough products. You will bridge the gap between theoretical research and scalable engineering solutions.

Responsibilities

  • Lead the 2026 AI Roadmap: Define the architectural vision for our flagship AI products, ensuring scalability, security, and performance.
  • Design Neural Architectures: Develop and optimize deep learning models for complex, real-time data processing and prediction.
  • Cloud & Infrastructure Strategy: Architect robust, serverless cloud infrastructure (AWS/GCP) to support high-volume inference and training.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into technical specifications.
  • Model Governance: Establish best practices for model training, testing, and deployment to ensure ethical AI compliance.
  • Talent Development: Mentor senior engineering staff and foster a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Cloud Expertise: Strong background in cloud-native development, including Kubernetes, Docker, and microservices.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems and deliver high-impact solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning TensorFlow PyTorch Cloud Architecture Kubernetes AWS GCP Generative AI NLP

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