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Senior AI Architect | 2026 Tech Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Are you ready to architect the technology of tomorrow? Aether Dynamics is at the forefront of the 2026 tech revolution, specializing in next-generation artificial intelligence and machine learning solutions. We are looking for a visionary Senior AI Architect to lead our engineering team in building scalable, intelligent systems that will define the future of enterprise automation.


As a key member of our technical leadership team, you will bridge the gap between theoretical AI research and practical, high-performance engineering. You will not just write code; you will design the architectural frameworks that power our products for years to come.


Why Join Us?

  • Work on cutting-edge AI infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Opportunity to shape the industry standard for AI in 2026.

Responsibilities

  • Design and implement robust, scalable AI architectures for enterprise-grade applications.
  • Lead the technical strategy for integrating advanced Machine Learning models into production environments.
  • Optimize model inference performance and reduce latency in high-traffic systems.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Establish best practices for code quality, testing, and deployment in AI/ML pipelines.
  • Stay ahead of industry trends, including Generative AI, Large Language Models (LLMs), and Edge Computing.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of experience in software engineering with a focus on AI/ML.
  • Expert proficiency in Python, TensorFlow, PyTorch, and related machine learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven experience deploying and managing LLMs and NLP applications.
  • Excellent problem-solving skills and the ability to mentor junior engineers.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Kubernetes Docker NLP LLMs Distributed Systems Cloud Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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