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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Architect

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are pioneering the future of technology and are looking for a visionary 2026 AI Architect to join our elite engineering team in San Francisco. As we prepare for the technological leap of 2026, we need a leader who can bridge the gap between theoretical AI and practical, scalable implementation.

Our mission is to engineer the digital infrastructure of tomorrow. You will be at the forefront of developing autonomous systems, generative models, and ethical AI frameworks that will redefine human-machine interaction.

Why join us?

  • Work on mission-critical projects that impact millions.
  • Access to the latest hardware and cloud infrastructure.
  • Competitive compensation and equity packages.

Responsibilities

  • Architect and implement scalable machine learning pipelines designed for the demands of 2026.
  • Lead the research and development of next-gen neural networks and reinforcement learning agents.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
  • Ensure system scalability, security, and compliance with global AI ethics standards.
  • Optimize model performance for real-time inference on edge devices.
  • Mentor junior engineers and establish best practices for AI engineering.

Qualifications

  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Experience with large language models (LLMs) and generative AI technologies.
  • Strong understanding of MLOps, CI/CD, and cloud architecture (AWS, GCP, or Azure).
  • Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Proven track record of shipping production-grade machine learning models.

Required Skills

Python TensorFlow PyTorch Machine Learning AI Architecture MLOps Cloud Computing Distributed Systems

Ready to Take This Challenge?

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