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Lead AI Strategist: 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

At Aether Dynamics, we don't just predict the future; we engineer it. As we accelerate toward the technological breakthroughs of 2026, we are seeking a visionary Lead AI Strategist to architect the neural infrastructure that will define the next decade.

In this pivotal role, you will guide our research teams in developing next-generation generative models and quantum-ready algorithms. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the AI landscape of 2026, we want to hear from you.

Why Join Us?

  • Work at the forefront of Artificial General Intelligence (AGI) development.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with quarterly innovation hubs.
  • Access to state-of-the-art compute resources and proprietary datasets.

Responsibilities

  • Define and execute the 2026 AI Roadmap, aligning technical milestones with business objectives.
  • Architect scalable, fault-tolerant machine learning pipelines capable of handling petabyte-scale data.
  • Lead a team of senior data scientists and engineers in researching novel neural architectures.
  • Ensure ethical AI practices and transparency in all model deployments.
  • Collaborate with product leadership to translate complex technical concepts into user-centric solutions.
  • Establish key performance indicators (KPIs) for AI model accuracy, latency, and cost-efficiency.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 10+ years of experience in AI/ML engineering, with at least 3 years in a leadership or strategic role.
  • Deep expertise in Python, PyTorch, and TensorFlow with a proven track record of deploying production models.
  • Experience with large language models (LLMs) and generative AI technologies.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and distributed systems.
  • Exceptional communication skills with the ability to influence cross-functional stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Large Language Models Cloud Architecture Distributed Systems Leadership Strategy

Ready to Take This Challenge?

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