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Senior AI Architect - Project 2026

Future Systems Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Future Systems Corp as a Senior AI Architect and be a pivotal figure in our revolutionary Project 2026. We are building the next generation of autonomous neural networks that will redefine human-computer interaction. If you are passionate about pushing the boundaries of Machine Learning, Deep Learning, and Distributed Systems, this is your opportunity to lead from the front.

In this role, you will design scalable architectures for large language models (LLMs) and deploy them on high-performance computing clusters. You will work directly with our Chief Technology Officer and a world-class team of researchers to solve complex problems in natural language processing and computer vision.

Why Join Us?

  • Work on Project 2026, a top-secret initiative shaping the future of tech.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium benefits.

Responsibilities

  • Design and architect scalable, fault-tolerant AI infrastructure for Project 2026.
  • Lead research initiatives in Generative AI and Large Language Models.
  • Optimize model training pipelines to reduce latency and improve inference accuracy.
  • Collaborate with data engineers to ensure high-quality data ingestion and processing.
  • Implement MLOps best practices for automated model deployment and monitoring.
  • Guide junior engineers and researchers on architectural decisions and coding standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or AI research.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience designing distributed systems for large-scale AI workloads.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure).
  • Excellent communication skills and the ability to translate technical concepts for diverse audiences.

Required Skills

Python PyTorch TensorFlow MLOps AWS Distributed Systems Machine Learning Deep Learning NLP

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