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Senior AI Architect (2026 Vision) - San Francisco, CA

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

We are on a mission to architect the future of intelligence for 2026 and beyond. Apex Future Systems is seeking a visionary Senior AI Architect to lead our R&D division. You will define the technical strategy for our next-generation generative models and autonomous systems. This is a rare opportunity to work at the intersection of cutting-edge research and scalable production engineering. Join us in shaping the technological landscape of tomorrow.

Why Join Us?

  • Work on projects that define the 2026 AI roadmap.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with access to premium hubs.
  • Top-tier health and wellness benefits.

Responsibilities

  • Design and implement scalable machine learning infrastructure capable of handling petabyte-scale data streams.
  • Lead the architectural strategy for Generative AI models, ensuring high accuracy and low latency.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer-facing products.
  • Define technical roadmaps and mentor junior engineers and data scientists.
  • Conduct rigorous research on emerging AI paradigms to stay ahead of industry trends.
  • Optimize model performance for edge deployment and real-time inference.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with Large Language Models (LLMs) and NLP techniques.
  • Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python TensorFlow PyTorch Machine Learning Distributed Systems AWS GCP Docker Kubernetes Generative AI NLP

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