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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead our 2026 Roadmap initiatives. At Nexus Core Systems, we are building the infrastructure of tomorrow, focusing on next-generation artificial intelligence, scalable machine learning models, and quantum-ready neural networks. This is a high-impact role where you will define the technical direction for our most ambitious projects, working alongside top-tier engineers and researchers.

Why Join Us?

  • Work on cutting-edge AI technologies that will define the industry in 2026 and beyond.
  • Competitive equity package and performance-based bonuses.
  • Flexible remote-first policy with quarterly in-person innovation hubs.
  • Access to state-of-the-art hardware and compute resources.

Are you ready to architect the future? Apply today.

Responsibilities

  • Architect and design scalable AI infrastructure for the 2026 Strategic Initiative, ensuring high availability and low latency.
  • Lead the development of proprietary machine learning models and fine-tune large language models (LLMs) for enterprise applications.
  • Collaborate with cross-functional teams (Data Science, Product, Security) to integrate AI solutions into core products.
  • Establish best practices for MLOps, model deployment, and continuous integration/continuous deployment (CI/CD).
  • Conduct code reviews and mentor junior architects and engineers to foster a culture of technical excellence.
  • Research emerging trends in AI hardware acceleration and algorithmic efficiency.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence or Machine Learning Architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing distributed systems and high-performance computing clusters.
  • Strong understanding of neural network architectures, NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning PyTorch TensorFlow Deep Learning Distributed Systems MLOps Cloud Computing Kubernetes Docker AWS GCP Neural Networks NLP

Ready to Take This Challenge?

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

Apply Now

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