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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

We are seeking a visionary Senior AI Architect to lead our strategic initiative for the 2026 AI ecosystem. At Nexus Future Systems, we don't just predict the future; we engineer it. You will be at the helm of designing next-generation neural architectures and large-scale machine learning systems that will define the industry standard for the coming decade.

In this role, you will bridge the gap between theoretical AI research and scalable production infrastructure, ensuring our products remain ahead of the curve in a rapidly evolving technological landscape.

Responsibilities

  • Architect and deploy cutting-edge AI models tailored for the 2026 technological landscape, focusing on scalability and efficiency.
  • Lead the technical strategy for our core machine learning infrastructure, ensuring high availability and low latency.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into robust AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stay abreast of the latest breakthroughs in Deep Learning, NLP, and Computer Vision to integrate relevant advancements into our roadmap.
  • Oversee the entire ML lifecycle, from data ingestion and model training to deployment and monitoring.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or JAX.
  • Proven track record of designing systems that handle billions of requests per day.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Strong understanding of MLOps, CI/CD pipelines, and model versioning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch AWS Kubernetes System Design MLOps Deep Learning 2026 Strategy

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