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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026 | San Francisco, CA

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the future of Project 2026? Nexus 2026 is at the forefront of next-generation artificial intelligence infrastructure. We are looking for a visionary Senior AI Architect to design and deploy scalable, robust, and secure machine learning systems that will redefine enterprise capabilities.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead architectural decisions, mentor top-tier talent, and drive the innovation roadmap that powers our global platforms.

Responsibilities

  • Design and implement scalable AI/ML architectures for high-volume data processing.
  • Lead technical strategy for the Project 2026 roadmap, ensuring alignment with business goals.
  • Collaborate with cross-functional teams (Data Science, Product, DevOps) to accelerate feature delivery.
  • Optimize existing models for latency, throughput, and cost-efficiency.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends in generative AI and quantum computing integration.

Qualifications

  • Master’s or PhD in Computer Science, Engineering, or a related field.
  • Minimum of 5+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural role.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade machine learning models.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Deep Learning Distributed Systems AI Architecture

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