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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026

Apex Future Systems
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 architect the future?

Apex Future Systems is seeking a visionary Senior AI Architect to spearhead Project 2026, our flagship initiative to revolutionize generative AI infrastructures for enterprise scalability.

In this pivotal role, you will not just write code; you will define the roadmap for next-generation neural networks and large language models. We are looking for a builder who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible with AI.

Join a team of elite engineers and researchers dedicated to creating sustainable, ethical, and powerful AI solutions that will define the industry standards for the mid-2020s and beyond.

Benefits include competitive equity, full health coverage, and flexible remote work options.

Responsibilities

  • Lead the end-to-end architecture design for Project 2026, ensuring high availability, security, and scalability of AI workloads.
  • Optimize and fine-tune large-scale machine learning models to reduce latency and improve inference accuracy.
  • Collaborate with cross-functional teams (Data Science, Product, DevOps) to integrate AI solutions into production environments.
  • Establish best practices for code quality, testing, and CI/CD pipelines within the AI development lifecycle.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Research and evaluate emerging AI technologies and frameworks to keep Project 2026 ahead of the curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
  • Minimum of 5+ years of professional experience in building and deploying production-grade machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX, with a strong command of C++ for performance-critical components.
  • Proven experience with Large Language Models (LLMs), Transformers, and Natural Language Processing (NLP) architectures.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes/Docker).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow NLP Cloud Architecture System Design Kubernetes AWS GCP

Ready to Take This Challenge?

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