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Senior AI Architect (2026 Vision)

Apex Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you ready to define the next era of Artificial Intelligence?

We are seeking a visionary Senior AI Architect to join Apex Future Labs in San Francisco. In this role, you will not just be building models; you will architect the fundamental infrastructure that powers autonomous agents, generative content creation, and predictive analytics for the future.

We are a team of futurists, engineers, and ethicists pushing the boundaries of what is possible in the rapidly evolving tech landscape.

Why You’ll Thrive Here:

  • Shape the Future: Work on next-generation Generative AI systems that will define the industry landscape by 2026.
  • Impact: Your work will directly influence how billions of users interact with intelligent systems.
  • Compensation: Earn a competitive salary and equity package reflective of your expertise.

Join us in building the intelligent foundation of tomorrow.

Responsibilities

  • Lead the end-to-end design and implementation of large-scale Generative AI models and neural architectures.
  • Optimize model inference latency and reduce computational costs for production environments.
  • Research and prototype novel algorithms for multimodal learning and reinforcement learning.
  • Establish industry-leading best practices for model governance, safety, and ethical AI usage.
  • Collaborate closely with data engineering and product teams to translate technical concepts into scalable solutions.
  • Mentor junior engineers and contribute to the technical roadmap for AI infrastructure.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience designing and deploying production-grade Machine Learning systems.
  • Deep proficiency in Python, PyTorch, and TensorFlow frameworks.
  • Proven track record of working with Large Language Models (LLMs), Transformers, and NLP.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools such as MLflow or Kubeflow.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs Generative AI MLOps AWS Kubernetes Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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