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Senior AI Strategy Architect - Shaping 2026

Aether Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Aether Systems is a pioneering research organization dedicated to the next generation of Artificial General Intelligence and cognitive computing. We are looking for a visionary Senior AI Strategy Architect to lead our high-impact projects and set the architectural standards for our upcoming innovations.

In this role, you won't just build models; you will define the roadmap for autonomous systems, ethical AI integration, and next-gen neural architectures. Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible in the tech industry.

Responsibilities

  • Architect Future-Proof AI Systems: Design scalable, robust, and secure AI infrastructures capable of handling complex, high-volume data streams for 2026 and beyond.
  • Strategic Leadership: Lead the technical vision for our AI initiatives, bridging the gap between theoretical research and practical, production-ready applications.
  • Model Optimization: Spearhead the development and fine-tuning of advanced Large Language Models (LLMs) and reinforcement learning agents.
  • Roadmap Definition: Collaborate with executive leadership to define the 3-5 year technical roadmap, identifying emerging trends like quantum-inspired computing.
  • Talent Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.
  • Compliance & Ethics: Ensure all AI systems adhere to the highest standards of data privacy, bias mitigation, and ethical AI governance.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field from a top-tier institution.
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Spark).
  • Innovation Mindset: Demonstrated history of working on cutting-edge projects, patents, or open-source contributions in AI.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Agile Experience: Proven track record of leading teams in Agile/Scrum environments.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Leadership Cloud Computing Data Science

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