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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

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

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next generation of intelligent applications. You won't just be maintaining systems; you'll be architecting the neural networks that drive our core business logic and define the future of our industry.

We are looking for a technical leader who thrives on complexity and innovation. In this role, you will define the architecture for large-scale machine learning models, optimize deep learning infrastructure, and mentor a team of talented engineers. Join us in building the intelligent systems that will define the next era of digital transformation.

Responsibilities

  • Design and deploy scalable, high-performance machine learning pipelines and deep learning architectures.
  • Lead the technical strategy for AI model integration, ensuring scalability and robustness.
  • Collaborate with cross-functional teams to translate business requirements into advanced AI solutions.
  • Optimize existing models for inference speed and reduce computational costs using techniques like quantization and pruning.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Stay ahead of industry trends in AI, such as Generative AI and Large Language Models (LLMs), and evaluate their applicability to our products.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of professional experience in AI/ML engineering, with at least 3 years in a senior or architect-level role.
  • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of MLOps, data pipeline engineering, and model versioning.
  • Proven track record of delivering production-ready AI solutions.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker MLOps Deep Learning Machine Learning NLP Computer Vision

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