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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are not just building software; we are architecting the future. Nexus Future Systems is seeking a visionary Senior AI Architect to spearhead our 2026 Horizon initiative. In this role, you will be at the forefront of defining the next generation of Artificial Intelligence, working on projects that will shape the technological landscape for years to come.

As a key member of our elite R&D division, you will bridge the gap between theoretical machine learning breakthroughs and practical, scalable product solutions. We offer a competitive compensation package, equity packages, and the opportunity to work in a dynamic environment that values innovation and technical excellence above all else.

Responsibilities

  • Design and deploy scalable deep learning frameworks for next-gen applications targeting the 2026 timeframe.
  • Lead the technical roadmap for AI evolution, identifying emerging trends in AGI and Neural Networks.
  • Collaborate with cross-functional teams to integrate complex AI solutions into robust product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and high performance.
  • Ensure ethical AI practices and rigorous data governance compliance across all proprietary models.
  • Optimize existing algorithms for efficiency, speed, and reduced computational cost.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 10+ years of professional experience in machine learning, deep learning, or AI architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
  • Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Proven track record of deploying high-impact AI models into production environments.
  • Demonstrated ability to lead technical strategy and make high-stakes architectural decisions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision Cloud Computing Kubernetes Data Science AGI

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