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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect at 2026

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are pioneering the next generation of Artificial General Intelligence. At 2026, we are not just building software; we are architecting the future of human-machine interaction. We are seeking a visionary Senior AI Architect to lead our core research and infrastructure initiatives.

In this role, you will define the architectural patterns for our next-generation neural networks and ensure our systems are scalable, secure, and efficient. You will collaborate with a world-class team of researchers, engineers, and product leaders to turn theoretical breakthroughs into tangible products.

Why join 2026?

  • Impactful Work: Shape the trajectory of AI development.
  • World-Class Team: Work alongside industry pioneers and thought leaders.
  • Equity Package: Competitive compensation and significant equity grants.
  • Flexible Environment: Hybrid work model based in our San Francisco HQ.

Responsibilities

  • Design and implement scalable, distributed machine learning infrastructure and pipelines.
  • Lead the architectural strategy for large-scale model training and inference.
  • Drive the adoption of best practices in MLOps, data governance, and model security.
  • Collaborate with cross-functional teams to translate research goals into production-ready solutions.
  • Mentor junior engineers and architects, fostering a culture of technical excellence.
  • Evaluate emerging technologies and frameworks to keep our stack at the cutting edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
  • Proven experience designing systems that handle high-scale data ingestion and processing.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Distributed Systems AWS Kubernetes PyTorch TensorFlow System Design MLOps

Ready to Take This Challenge?

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