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Senior AI Architect (2026 Vision)

FutureCore Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

The Opportunity: FutureCore Systems is pioneering the "2026 Initiative," a revolutionary leap in autonomous decision-making AI. We are seeking a visionary Senior AI Architect to design the core infrastructure that will define the next decade of technology.

You will work at the intersection of deep learning, quantum computing, and real-time data processing. If you are obsessed with pushing the boundaries of what is possible in artificial intelligence, this is your chance to leave a legacy.

Why Join Us?
We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that will impact the global landscape.

Responsibilities

  • Architect and deploy scalable machine learning models for the 2026 core platform.
  • Lead the research and implementation of state-of-the-art Natural Language Processing (NLP) techniques.
  • Optimize inference latency and model accuracy across distributed systems.
  • Collaborate with product teams to translate complex technical requirements into robust engineering solutions.
  • Mentor junior engineers and establish best practices for code quality and system design.
  • Stay ahead of the curve by evaluating emerging technologies relevant to the 2026 roadmap.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Minimum of 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • Strong grasp of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing System Architecture AWS GCP

Ready to Take This Challenge?

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