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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Tech Vision

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the next generation of artificial intelligence and are seeking a visionary Senior AI Architect to lead our cutting-edge research division. At Nexus 2026, we are not just building software; we are architecting the technological foundation for the future. If you are passionate about pushing the boundaries of what is possible with Large Language Models, Generative AI, and Edge Computing, we want to hear from you.

In this pivotal role, you will define the technical roadmap for our flagship AI solutions, ensuring our platforms are scalable, secure, and ahead of the curve for the 2026 market landscape.

Responsibilities

  • Architect and deploy scalable AI infrastructure designed for the 2026 era, focusing on high-performance computing and low-latency inference.
  • Lead the research and implementation of next-generation Generative AI models, optimizing them for specific enterprise use cases.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure system reliability, data privacy, and ethical AI compliance across all deployed models.
  • Drive the integration of quantum-ready algorithms into our current stack where applicable.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience designing microservices and distributed systems that handle high transaction volumes.
  • Strong understanding of cloud-native architectures (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design Cloud Architecture AWS Kubernetes Generative AI NLP

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