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Senior AI Architect (2026 Vision)

Aethelgard Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence? Aethelgard Technologies is seeking a visionary Senior AI Architect to spearhead the development of our next-generation AI infrastructure for the 2026 roadmap. In this role, you won't just write code; you will architect the cognitive backbone of our enterprise ecosystem.

We are looking for a pioneer who is passionate about pushing the boundaries of what is possible. You will be responsible for designing scalable, robust, and ethical AI systems that will serve millions of users globally. If you thrive in a high-velocity environment and are obsessed with cutting-edge technology, we want to hear from you.

Responsibilities

  • Architect Future-Proof AI Solutions: Design and implement advanced machine learning architectures tailored for 2026 requirements, including Large Language Models (LLMs) and generative AI pipelines.
  • Lead Technical Strategy: Define the technical vision and roadmap for AI initiatives, ensuring alignment with business goals and long-term scalability.
  • Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting rigorous code reviews.
  • Optimization & Efficiency: Drive performance optimization across models, focusing on inference speed, memory efficiency, and energy consumption.
  • R&D Collaboration: Collaborate with cross-functional teams (Data Science, Product, DevOps) to integrate AI solutions seamlessly into production environments.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Experience: 5+ years of professional experience in software engineering or AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Future-Ready Knowledge: Deep understanding of Transformer architectures, Reinforcement Learning, and emerging trends in AGI (Artificial General Intelligence).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM NLP Cloud Computing Kubernetes System Design

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