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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect 2026 | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are at the forefront of the technological singularity. Nexus Future Labs is seeking a visionary AI Architect 2026 to lead our next-generation infrastructure. If you are passionate about building scalable, ethical, and transformative AI systems that will define the landscape of the future, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Shape the ethical standards for AI in the year 2026.
  • Competitive equity package and top-tier benefits.

As a leader in this niche, you will bridge the gap between theoretical research and practical, production-grade engineering.

Responsibilities

  • Architect Future-Ready Systems: Design and deploy scalable machine learning infrastructure optimized for 2026 workloads, including quantum-ready cloud architectures.
  • Ethical AI Governance: Establish and enforce frameworks for algorithmic fairness, transparency, and bias mitigation in all AI models.
  • Technical Leadership: Mentor a team of senior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
  • Model Optimization: Drive the research and implementation of state-of-the-art optimization techniques to reduce inference latency and cost.
  • Strategic Roadmapping: Collaborate with product leads to define the AI roadmap, ensuring alignment with long-term business goals.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (Ph.D. preferred).
  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/GCP/Azure).
  • Niche Knowledge: Proven experience with Generative Adversarial Networks (GANs), Transformers, or Reinforcement Learning.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Kubernetes AWS Data Science AI Ethics

Ready to Take This Challenge?

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

Apply Now

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