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Information Technology 🏢 Full Time ⭐️ Verified

Senior Year 2026 AI Architect

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Are you ready to architect the next generation of intelligence? OmniFuture Technologies is seeking a visionary Senior Year 2026 AI Architect to lead our mission in building scalable, next-gen neural networks. If you thrive at the intersection of theoretical AI and practical engineering, this is your opportunity to define the landscape of technology in 2026 and beyond.

We are building the infrastructure for tomorrow, today. In this pivotal role, you will bridge the gap between cutting-edge research and production-ready systems, ensuring our solutions are not just functional, but revolutionary.

Responsibilities

  • Lead the architectural design of our proprietary Year 2026 AI framework, ensuring scalability and resilience.
  • Collaborate with cross-functional teams—including researchers, data scientists, and backend engineers—to deploy and optimize machine learning models.
  • Design and implement data pipelines capable of handling petabyte-scale datasets for real-time inference.
  • Advocate for best practices in software engineering, including CI/CD, automated testing, and cloud-native architecture.
  • Stay at the forefront of AI advancements, specifically focusing on Generative AI and Autonomous Systems trends for 2026.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architectural capacity.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Strong understanding of large language models (LLMs), fine-tuning strategies, and RAG architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Helm).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design Kubernetes AWS GCP Architecture

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