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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligence?

Aether Dynamics is pioneering the next generation of adaptive AI systems. We are seeking a visionary Senior AI & Future Systems Architect to lead the development of scalable, high-performance neural architectures designed for the 2026 landscape and beyond. If you are passionate about pushing the boundaries of machine learning and building resilient infrastructures, we want to meet you.

In this role, you will be at the forefront of technological innovation, bridging the gap between theoretical AI models and real-world, high-volume applications. You will work in a collaborative environment that values creative problem-solving and technical excellence.

Responsibilities

  • Architect Scalable AI Infrastructure: Design and implement robust, cloud-native AI systems capable of handling enterprise-grade workloads.
  • Lead the 2026 Roadmap: Define technical strategies and architectural standards for next-generation machine learning projects.
  • Model Optimization: Refine and fine-tune complex neural networks to maximize efficiency and accuracy.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business objectives into technical solutions.
  • Code Review & Mentorship: Lead technical reviews and mentor junior engineers to foster a culture of continuous learning.
  • Security & Compliance: Ensure all AI systems adhere to the highest security standards and regulatory requirements.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering with a strong focus on AI/ML systems.
  • Technical Skills: Expert proficiency in Python, TensorFlow, PyTorch, and experience with Kubernetes and Docker.
  • Cloud Expertise: Deep knowledge of major cloud providers (AWS, Azure, or GCP).
  • Leadership: Proven track record of leading technical teams and managing complex project lifecycles.
  • Problem Solving: Ability to troubleshoot complex architectural challenges and innovate solutions.

Required Skills

Python TensorFlow PyTorch AWS Azure Kubernetes Docker Machine Learning System Design Neural Networks Cloud Architecture

Ready to Take This Challenge?

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