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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect - 2026 Roadmap

Aethel Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Future is Now. Aethel Corp is pioneering the neural infrastructure required for the next decade of global computing. We are looking for a visionary Senior AI Infrastructure Architect to lead our 2026 strategic roadmap, ensuring our AI models scale seamlessly across distributed cloud environments.

In this role, you will bridge the gap between cutting-edge machine learning research and robust, production-grade engineering. You will define the architectural patterns that will support our next-generation predictive analytics platforms.

Why Join Us?

  • Work with a team building the foundation for the autonomous digital economy.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.

If you are ready to architect the future of AI, we want to hear from you.

Responsibilities

  • Architect 2026 AI Roadmap: Design the end-to-end infrastructure strategy for deploying next-generation Large Language Models (LLMs) and generative AI agents.
  • Scalability Optimization: Implement high-performance computing (HPC) solutions to handle petabyte-scale data streams with zero-latency inference.
  • Cloud & Edge Integration: Lead the migration and optimization of AI workloads across hybrid cloud environments and edge computing nodes.
  • System Reliability: Establish robust monitoring, logging, and alerting systems to maintain 99.99% uptime for critical AI services.
  • Talent Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Cost Efficiency: Continuously optimize resource allocation to reduce infrastructure costs by 20%+ annually.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering and at least 5 years specifically in AI infrastructure and MLOps.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and C++. Proficiency with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
  • Architecture Skills: Proven track record of designing fault-tolerant, distributed systems capable of handling massive concurrent loads.
  • Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.
  • Agile Mindset: Experience working in fast-paced, agile development environments with rapid iteration cycles.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker AWS GCP Cloud Architecture MLOps Distributed Systems AI Infrastructure Machine Learning Engineering

Ready to Take This Challenge?

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

Apply Now

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