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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026 | San Francisco, CA

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technical development of Project 2026. This is a rare opportunity to build the foundational systems of tomorrow, working on cutting-edge artificial intelligence that will define the future of our industry. You will bridge the gap between theoretical research and practical engineering, delivering scalable, high-performance solutions.

If you are a technical leader passionate about pushing the boundaries of what is possible in machine learning and distributed systems, we want to hear from you.

Responsibilities

  • Architectural Design: Lead the end-to-end design of scalable AI infrastructure and distributed systems for Project 2026.
  • Model Optimization: Fine-tune and optimize large-scale neural networks to ensure maximum efficiency, accuracy, and low latency.
  • Technical Roadmap: Define and execute the technical strategy, ensuring alignment with business goals and innovation milestones.
  • Research Implementation: Translate the latest academic research into production-grade code and deployment pipelines.
  • Team Mentorship: Mentor a team of talented engineers and data scientists, fostering a culture of excellence and continuous learning.
  • Cloud Infrastructure: Oversee the deployment of models on major cloud platforms (AWS/GCP) using containerization and microservices.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with 3+ years specifically in AI/ML architecture.
  • Programming: Deep proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
  • System Design: Proven expertise in designing fault-tolerant, high-availability systems at scale.
  • Cloud Mastery: Strong experience with Kubernetes, Docker, and cloud-native architectures.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Design Kubernetes Docker AWS GCP PyTorch TensorFlow Leadership

Ready to Take This Challenge?

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