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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Apex Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Senior AI & Future Tech Architect to lead our R&D division. We are building the core infrastructure for the next generation of generative intelligence, and we need a leader who can bridge the gap between theoretical AI and scalable production systems.

In this role, you won't just be maintaining existing systems; you will architect the roadmap for our technology stack leading up to and beyond 2026. You will work with a team of elite engineers and data scientists to push the boundaries of Large Language Models (LLMs) and autonomous agents.

Why Join Us?

  • Work on cutting-edge AI projects that define the future.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in the heart of San Francisco.

Responsibilities

  • Design and implement scalable AI architectures capable of handling petabyte-scale data processing.
  • Lead the research and development of proprietary Generative AI models tailored for enterprise solutions.
  • Define the long-term technical roadmap for the engineering department, specifically focusing on 2026 technological milestones.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with product managers to translate complex AI capabilities into user-friendly features.
  • Ensure system reliability, security, and ethical AI compliance across all projects.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (10+ years of experience).
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning, NLP, and Computer Vision.
  • Experience designing distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Strong portfolio demonstrating previous work in LLM fine-tuning or RAG (Retrieval-Augmented Generation).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS System Architecture Generative AI Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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