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Senior AI Architect | 2026 Innovations | San Francisco

2026 Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join 2026 Innovations and help define the technological landscape of the future. We are a cutting-edge research lab building the neural infrastructure required for the 2026 era. We are seeking a visionary Senior AI Architect to lead our core model development and bridge the gap between theoretical quantum computing and practical generative AI.

As a key member of our elite engineering team, you will not just use existing tools; you will help build the tools of tomorrow. We are obsessed with scalability, safety, and the intersection of biology and technology.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable machine learning pipelines and large language models optimized for high-throughput inference.
  • Quantum Integration: Collaborate with quantum physicists to develop hybrid algorithms that leverage quantum supremacy for complex data modeling.
  • System Optimization: Oversee the deployment of AI agents in cloud environments, focusing on reducing latency and improving energy efficiency.
  • Research & Development: Stay ahead of the curve on emerging paradigms in Artificial General Intelligence (AGI) and Autonomous Systems.
  • Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for a distributed, remote-first team.
  • Product Vision: Translate abstract research goals into concrete, deliverable software features that drive our 2026 roadmap.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in machine learning engineering, with a focus on NLP or Computer Vision.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud infrastructure (AWS, GCP, or Azure).
  • Architecture Skills: Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Innovation: A proven track record of publishing papers or shipping high-impact open-source projects.
  • Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch Machine Learning AI Architecture Cloud Computing Kubernetes Distributed Systems NLP Research

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