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Senior AI Architect - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. In this pivotal role, you will design and implement scalable, state-of-the-art neural architectures that power our autonomous solutions and predictive analytics platforms. You will bridge the gap between theoretical research and production-grade deployment, ensuring our systems remain at the cutting edge of innovation.

Join a diverse team of engineers, researchers, and product strategists dedicated to building a smarter future. We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that will shape the industry standards for the coming decade.

Responsibilities

  • Lead the architecture and development of advanced Machine Learning models and Deep Learning pipelines.
  • Research and prototype cutting-edge algorithms to solve complex business problems.
  • Optimize existing models for high-throughput inference and low latency in production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product features.
  • Establish best practices for MLOps, model governance, and ethical AI deployment.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering with a focus on AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying end-to-end AI solutions that drive business value.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS Distributed Systems NLP Computer Vision

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