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Future Tech Lead: AI & Automation Architect (2026 Vision)

Aether Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Welcome to the future of technology. Aether Dynamics is pioneering the next generation of intelligent systems. As we look toward 2026, we are seeking a visionary Future Tech Lead to architect the autonomous solutions of tomorrow. You will be at the forefront of integrating Generative AI with predictive analytics to create seamless, human-centric experiences.

We offer a competitive salary, comprehensive benefits, and the opportunity to shape the landscape of 2026.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable AI architectures focusing on Agentic AI and autonomous decision-making frameworks.
  • Lead R&D: Spearhead research initiatives in Large Language Models (LLMs) and predictive machine learning models to stay ahead of the 2026 tech curve.
  • Strategic Integration: Bridge the gap between complex data science and practical engineering, deploying AI solutions across our core product lines.
  • Team Mentorship: Cultivate a high-performance culture of innovation, mentoring junior developers and senior engineers alike.
  • Ethical AI Compliance: Ensure all deployed systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/GCP).
  • Innovation: Proven track record of delivering cutting-edge AI products in fast-paced environments.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow AWS Leadership Research Data Science

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