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Senior AI Architect (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow

We are Apex Future Systems, a premier technology firm pioneering the next generation of artificial intelligence. As we prepare for the massive technological shifts of 2026, we are seeking a visionary Senior AI Architect to lead our research and development division. You will be at the forefront of building scalable, ethical, and transformative AI models that will define the industry standard for the coming decade.

In this role, you won't just write code; you will define the architecture that powers our enterprise solutions, ensuring robustness, scalability, and future-proofing for the years ahead. If you are passionate about the potential of AGI and possess the technical prowess to execute complex systems, we want to hear from you.

Responsibilities

  • Architect and deploy cutting-edge Generative AI models and Large Language Models (LLMs) tailored for enterprise use cases.
  • Lead the research and implementation of novel algorithms to enhance model accuracy and efficiency.
  • Establish best practices for MLOps, including model versioning, monitoring, and automated retraining pipelines.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical specifications.
  • Ensure AI systems are explainable, fair, and compliant with emerging global AI regulations.
  • Optimize infrastructure to handle high-throughput inference and training workloads.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern NLP frameworks.
  • Proven track record of deploying production-grade AI applications at scale.
  • Experience with vector databases, RAG (Retrieval-Augmented Generation), and LLM fine-tuning.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS GCP Generative AI LLMs RAG Cloud Architecture

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