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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026 - San Francisco

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure for tomorrow, today. Aether Dynamics is seeking a visionary Senior AI Architect to spearhead our Project 2026 initiative—a next-generation autonomous systems platform. In this pivotal role, you will define the architectural blueprint for our flagship AI models, ensuring scalability, security, and ethical compliance in a rapidly evolving landscape.

If you are a technical leader passionate about pushing the boundaries of generative AI and predictive modeling, we want to hear from you. Join a team where your code will shape the future of human-machine interaction.

Responsibilities

  • Architectural Leadership: Design and implement robust, scalable AI systems architectures for Project 2026, ensuring high availability and fault tolerance.
  • Model Strategy: Collaborate with research teams to select and fine-tune the most effective large language models (LLMs) for specific enterprise applications.
  • System Optimization: Oversee the deployment and optimization of ML pipelines, focusing on latency reduction and computational efficiency.
  • Roadmap Execution: Lead the technical execution of the 2026 product roadmap, translating abstract concepts into concrete, deliverable code.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and security experts to integrate AI capabilities into client-facing solutions.
  • Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • System Design: Deep understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Leadership: Proven track record of leading high-performing engineering teams and managing complex technical projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch System Architecture Cloud Computing Machine Learning Kubernetes Docker AWS GCP

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