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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

Shape the Future of Intelligence. Nexus Future Labs is pioneering the next generation of AI systems. We are looking for a visionary Senior AI Architect to lead our engineering team in building the infrastructure required for 2026 and beyond. You will define the architectural standards for our next-gen neural networks, ensuring they are scalable, ethical, and transformative.

Join us to work on cutting-edge projects that will redefine human-machine interaction.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems and deep learning models.
  • Define the 2026 technology roadmap, focusing on Generative AI, Quantum AI integration, and autonomous agents.
  • Collaborate with product managers and data scientists to translate complex requirements into robust technical solutions.
  • Mentor a team of top-tier engineers, fostering a culture of innovation and technical excellence.
  • Ensure system reliability, security, and compliance with global data privacy standards.
  • Optimize model inference and training pipelines for maximum efficiency and cost-effectiveness.
  • Drive the adoption of MLOps best practices and cloud-native architectures.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Strong experience with distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Deep understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Proven experience deploying large-scale machine learning models in production environments.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with ethical AI frameworks and bias mitigation strategies.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Cloud Architecture MLOps Docker Kubernetes AWS GCP

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