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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Visionary Tech

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

About the Role:
We are looking for a visionary Senior AI Architect to pioneer the next generation of autonomous intelligent systems. As we prepare for the technological landscape of 2026, you will be responsible for designing scalable, robust, and ethical AI infrastructure that powers our core products. This is a high-impact opportunity for a technical leader who wants to shape the future of human-machine interaction.


Why Join Us?
At Nexus Future Systems, we don't just predict trends; we define them. You will work with a world-class team of engineers, data scientists, and futurists in a fast-paced, collaborative environment. We offer competitive equity, unlimited PTO, and the chance to work on problems that matter.

Responsibilities

  • Architect and deploy advanced Generative AI models and Large Language Models (LLMs) tailored for enterprise applications.
  • Design end-to-end machine learning pipelines, from data ingestion and preprocessing to model training and production deployment.
  • Ensure system scalability, high availability, and fault tolerance for real-time AI inference.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Implement robust guardrails and ethical AI frameworks to ensure safety and bias mitigation in automated systems.
  • Conduct deep research into emerging AI paradigms to maintain a competitive edge in the 2026 tech landscape.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong proficiency in programming languages including Python, C++, or Rust.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading engineering teams and mentoring junior developers.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes Generative AI NLP System Architecture

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