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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

Welcome to Nexus Future Systems, a pioneer in next-generation artificial intelligence. We are on a mission to define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to join our elite engineering team and spearhead the development of our flagship Project 2026.

In this role, you won't just be writing code; you will be architecting the neural networks that will power the autonomous systems of tomorrow. You will bridge the gap between theoretical AI research and scalable, real-world deployment, working with a team of world-class engineers and data scientists.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) infrastructures.
  • Competitive salary, equity, and comprehensive benefits package.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to the latest hardware and cloud resources.

If you are passionate about pushing the boundaries of what is possible in 2026, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance AI/ML architectures for Project 2026.
  • Lead the migration of legacy systems to modern, AI-driven infrastructures.
  • Collaborate with cross-functional teams to define product roadmaps and technical strategies.
  • Optimize deep learning models for inference speed and resource efficiency.
  • Establish best practices for MLOps, data governance, and model deployment.
  • Mentor junior engineers and conduct code reviews to ensure high technical standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML.
  • Proficiency in Python, TensorFlow, PyTorch, and C++.
  • Deep understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-grade AI products.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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