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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect

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

Job Description

Are you ready to shape the future of intelligence? At 2026, we aren't just building software; we are architecting the technological reality of the next decade. We are looking for a visionary Senior AI Architect to spearhead our research and development initiatives in Silicon Valley.

As a pivotal member of our elite technical team, you will design the neural architectures that power our next-generation autonomous systems. If you are passionate about pushing the boundaries of what is possible in artificial general intelligence and quantum computing, we want to hear from you.

Why join 2026?

  • Work on groundbreaking projects that define the future.
  • Competitive compensation package including equity options.
  • Top-tier benefits and an environment that fosters radical innovation.

We are committed to diversity and inclusion and encourage applications from all qualified candidates.

Responsibilities

  • Architect and implement scalable, high-performance machine learning pipelines for complex real-time data streams.
  • Lead the research and development of novel AI algorithms, focusing on NLP and reinforcement learning.
  • Define and enforce architectural standards to ensure system reliability, security, and scalability.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate closely with product managers and engineering leads to translate business requirements into technical blueprints.
  • Drive the integration of AI models into production environments using modern MLOps practices.

Qualifications

  • Master's or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software engineering and machine learning architecture.
  • Extensive expertise in Python, TensorFlow, PyTorch, and cloud-native technologies (AWS, GCP, Azure).
  • Proven track record of deploying large-scale AI models into production.
  • Strong understanding of distributed systems, microservices, and high-availability architecture.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture NLP Distributed Systems MLOps AWS GCP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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