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Senior AI Architect - Project 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future? Apex Future Systems is looking for a visionary Senior AI Architect to spearhead our Project 2026 initiative. This is a high-impact role where you will define the technical roadmap for the next generation of generative AI and autonomous systems. You will work in a cutting-edge environment, pushing the boundaries of what is possible in machine learning and cloud infrastructure.

In this role, you will not just write code; you will shape the foundational architecture that drives our enterprise solutions for the coming decade. You will be responsible for bridging the gap between theoretical AI research and scalable production environments.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 AI ecosystem, ensuring scalability and high performance.
  • Define and enforce technical standards, coding practices, and architectural patterns for AI-driven solutions.
  • Collaborate with cross-functional teams to translate business requirements into robust technical roadmaps.
  • Optimize existing neural network models and infrastructure to handle real-time, massive data streams.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Research and prototype emerging technologies, including generative AI and quantum computing integration.
  • Ensure compliance with data privacy regulations and security best practices.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and large language models (LLMs).
  • Strong understanding of distributed systems, microservices, and cloud architecture (AWS/Azure/GCP).
  • Experience with high-performance computing (HPC) environments and edge computing.
  • Proven track record of leading technical teams and managing complex projects from conception to deployment.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning Cloud Architecture Leadership

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