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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Visionary

Nexus Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Vanguard of 2026 Technology

Nexus Future Systems is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Architect to lead our 2026 strategic roadmap. In this pivotal role, you will design the infrastructure that powers the autonomous systems of tomorrow, working with cutting-edge Large Language Models and predictive analytics.

You will be at the intersection of strategy and engineering, ensuring our solutions are scalable, ethical, and ready for the demands of the coming decade. If you are passionate about building the future and want to leave a lasting impact on the tech landscape, we want to hear from you.

Why Join Us?

  • Work with a world-class team of engineers and researchers.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with hubs in SF and NYC.
  • Focus on sustainable and ethical AI development.

Responsibilities

  • Architect and implement scalable AI infrastructure to support our 2026 product roadmap.
  • Lead the technical strategy for integrating Generative AI into core business workflows.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Collaborate with product managers to translate complex business requirements into technical solutions.
  • Ensure system reliability, security, and performance at a massive scale.
  • Stay ahead of industry trends in Machine Learning, Deep Learning, and Edge Computing.

Qualifications

  • 10+ years of experience in software engineering and 5+ years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master's degree or PhD in Computer Science, Engineering, or a related field.

Required Skills

Python PyTorch TensorFlow AWS GCP Azure MLOps Machine Learning Deep Learning Distributed Systems Software Architecture NLP SQL Kubernetes

Ready to Take This Challenge?

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