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Senior AI Architect: 2026 Roadmap

Apex Future Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to join Apex Future Technologies and drive our infrastructure for the 2026 product launch. In this pivotal role, you will design scalable, fault-tolerant AI systems that power our next-generation ecosystem.


As a key player in our engineering team, you will bridge the gap between theoretical research and production-grade deployment. We are committed to pushing the boundaries of what's possible, and we need a leader who thrives on complexity and innovation.


Perks & Benefits:

  • Competitive equity package tied to company performance.
  • Unlimited PTO and wellness stipends.
  • Top-tier health, dental, and vision insurance.
  • State-of-the-art hardware access for model training.

Responsibilities

  • Architect and implement large-scale machine learning pipelines designed for the 2026 production environment.
  • Design distributed systems capable of handling high-throughput data streams and real-time inference.
  • Collaborate with cross-functional teams to define technical requirements and roadmaps.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Ensure data security, privacy, and compliance with industry standards.
  • Mentor junior engineers and foster a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, AI, or a related technical field.
  • 8+ years of experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Proven track record of deploying ML models at scale in cloud environments (AWS/Azure/GCP).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent problem-solving skills and communication abilities.

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Machine Learning Deep Learning NLP Distributed Systems

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