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Senior AI Architect (Future Systems Division)

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the world of tomorrow?

At Aether Dynamics, we are not just building software; we are building the infrastructure for humanity's leap into the next decade. As a Senior AI Architect in our Future Systems Division, you will spearhead projects that redefine the boundaries of artificial intelligence, neural interfaces, and computational logic. Join us in shaping the technological landscape of 2026 and beyond.

We are looking for a visionary engineer with a passion for pushing the limits of what's possible. You will work on cutting-edge solutions that integrate deep learning with real-time neural feedback loops, serving clients across the globe.

Responsibilities

  • Architect Scalable Neural Networks: Design and implement advanced deep learning models capable of handling high-dimensional data streams for autonomous systems.
  • Lead Research Initiatives: Spearhead internal R&D projects focusing on predictive AI, reinforcement learning, and quantum algorithm integration.
  • System Optimization: Optimize existing codebases for latency and throughput, ensuring real-time performance in critical infrastructure.
  • Technical Mentorship: Guide a team of junior developers and data scientists, fostering a culture of innovation and continuous learning.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable insights for non-technical stakeholders and product managers.
  • Future-Proofing: Stay ahead of industry trends to ensure our systems remain robust and relevant in the rapidly evolving tech landscape of 2026.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architectural role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++. Experience with quantum computing libraries (Qiskit, Cirq) is a plus.
  • Neural Interfaces: Strong understanding of brain-computer interface (BCI) protocols and signal processing.
  • Problem Solving: Proven track record of solving complex engineering problems in high-pressure environments.
  • Communication: Excellent verbal and written communication skills, with the ability to present technical strategies to executive leadership.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning Neural Networks System Architecture Quantum Computing C++ Data Structures Algorithms

Ready to Take This Challenge?

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