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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect | 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are 2026, a pioneering force in next-generation artificial intelligence. We are not just building the future; we are defining it. Our mission is to create sentient, scalable AI systems that solve humanity's most complex challenges. We are seeking a visionary Senior AI Architect to lead our core infrastructure and drive the next evolution of our technology stack.

If you are a thought leader who thrives in ambiguity and possesses an uncanny ability to translate theoretical AI concepts into production-ready systems, we want to meet you. Join us in shaping the landscape of technology in 2026 and beyond.

Responsibilities

  • Lead System Architecture: Design and implement scalable, high-performance AI infrastructure using cutting-edge frameworks and cloud-native technologies.
  • Model Optimization: Drive the optimization of deep learning models for inference speed and reduced latency in real-time applications.
  • Team Leadership: Mentor a team of brilliant data scientists and engineers, fostering a culture of innovation and technical excellence.
  • R&D Strategy: Stay at the forefront of AI research, evaluating and integrating novel algorithms and methodologies into our core products.
  • Collaboration: Partner with product managers and stakeholders to define technical roadmaps and ensure alignment with business goals.
  • Security & Compliance: Implement robust security protocols and ensure all AI systems adhere to industry standards and ethical guidelines.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Experience: 7+ years of experience in software engineering and machine learning architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; extensive experience with distributed computing systems (Kubernetes, Docker).
  • Cloud Expertise: Deep understanding of AWS, GCP, or Azure, specifically regarding GPU compute and managed AI services.
  • Problem Solving: Proven track record of solving complex technical challenges and delivering scalable solutions under tight deadlines.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Docker Machine Learning Deep Learning NLP Distributed Systems

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