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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect | Shaping the 2026 Tech Landscape

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

Job Description

Join Nexus Future Systems as a Senior AI Architect and help define the technological roadmap for the year 2026 and beyond. We are at the forefront of generative intelligence and predictive analytics, seeking a visionary engineer to build scalable, secure, and ethical AI systems that power the next generation of digital experiences.

Why Join Us?
We are not just building software; we are architecting the future. As a leader in the niche of 2026-ready technology, you will have the autonomy to experiment with cutting-edge models and deploy solutions that redefine industry standards.

Responsibilities

  • Design and deploy robust machine learning infrastructure for scalable, high-velocity environments.
  • Lead the architecture of generative AI models, including Large Language Models (LLMs) and multimodal systems.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Establish best practices for data governance, model security, and ethical AI usage.
  • Mentor junior engineers and foster a culture of technical innovation and continuous learning.
  • Conduct code reviews and technical architecture reviews to ensure system integrity.

Qualifications

  • 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models into production at scale.
  • Strong understanding of MLOps, data pipelines, and feature engineering.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps Generative AI NLP

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