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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not building for today; we are architecting the intelligence of tomorrow. Nexus Future Labs is seeking a visionary Senior AI Architect 2026 to lead our mission toward Artificial General Intelligence.

In this pivotal role, you will define the architectural blueprint for the future of intelligent systems. You will work with a world-class team of researchers and engineers to build the scalable infrastructure that powers the digital ecosystem of the next decade. This is an opportunity to shape the ethical, technical, and operational standards of AI as we head into the 2026 era.

Responsibilities

  • Architect Future-Proof AI Systems: Design and implement scalable infrastructure for Large Language Models (LLMs), Autonomous Agents, and predictive neural networks.
  • Lead the 2026 Roadmap: Define the technical strategy, milestones, and innovation pipelines leading up to the 2026 AI revolution.
  • Ensure Ethical AI Standards: Implement robust safety protocols, fairness checks, and governance frameworks to ensure responsible AI deployment.
  • Mentor High-Performance Teams: Foster a culture of innovation, guiding junior engineers, data scientists, and researchers.
  • Collaborate Across Disciplines: Partner with product managers, legal teams, and stakeholders to bridge the gap between theoretical AI research and real-world application.

Qualifications

  • Advanced Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Deep Learning Expertise: 8+ years of experience in designing, deploying, and optimizing complex machine learning models.
  • Technical Proficiency: Proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
  • AI Trajectory: Demonstrated experience with Generative AI, Natural Language Processing (NLP), and Reinforcement Learning.
  • Leadership Skills: Proven ability to lead cross-functional teams and manage complex technical projects from concept to deployment.

Required Skills

Python Machine Learning Deep Learning Natural Language Processing PyTorch TensorFlow System Architecture AI Ethics Cloud Computing Kubernetes

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