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Senior AI Architect - Project 2026 | San Francisco, CA

Vertex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the foundation for the next generation of intelligent systems. Vertex Future Systems is looking for a visionary Senior AI Architect to spearhead Project 2026—our ambitious initiative to redefine human-machine interaction through scalable, ethical, and cutting-edge artificial intelligence.

In this role, you won't just implement existing models; you will architect the neural infrastructure of tomorrow. You will work closely with a world-class team of engineers, ethicists, and product designers to deliver AI solutions that are robust, efficient, and transformative. If you are passionate about the future of technology and ready to lead a high-impact mission, we want to hear from you.

Why join Project 2026?

  • Be at the forefront of AI innovation.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Lead the architectural design and implementation of large-scale machine learning models for Project 2026.
  • Oversee the end-to-end lifecycle of AI development, from data ingestion and preprocessing to model deployment and monitoring.
  • Collaborate with cross-functional teams to define product requirements and translate them into technical solutions.
  • Ensure system scalability, security, and performance optimization for high-traffic environments.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Stay abreast of the latest research in Deep Learning and Natural Language Processing to drive innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering with at least 5 years focused on AI/ML architecture.
  • Proven expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps, data pipeline management, and model versioning (MLflow, Kubeflow).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps Deep Learning NLP Distributed Systems Cloud Architecture

Ready to Take This Challenge?

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