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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

OmniCorp Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Technology

Are you ready to define the technological landscape of 2026 and beyond? OmniCorp Systems is seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. In this high-impact role, you will design scalable, resilient, and cutting-edge machine learning systems that will power our global platforms.

Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible. We offer a competitive compensation package, remote-first flexibility, and the opportunity to work on projects that matter.

Why Join OmniCorp?

  • Work on revolutionary AI projects targeting the 2026 tech roadmap.
  • Competitive salary and comprehensive benefits package.
  • Flexible work environment in the heart of San Francisco.
  • Opportunity for stock options and performance bonuses.

Responsibilities

  • Design and architect end-to-end machine learning solutions for complex business problems.
  • Lead the research and implementation of state-of-the-art deep learning models (NLP, Computer Vision, Reinforcement Learning).
  • Optimize existing algorithms for performance, scalability, and energy efficiency.
  • Collaborate with cross-functional teams including product managers, engineers, and data scientists.
  • Define technical standards and best practices for AI development and deployment.
  • Conduct code reviews and mentor junior architects and engineers.
  • Monitor model performance and implement continuous improvement strategies.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
  • Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of distributed systems and high-availability architecture.
  • Proven track record of deploying production-grade AI models.
  • Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AI TensorFlow PyTorch NLP Computer Vision AWS Docker Kubernetes San Francisco California

Ready to Take This Challenge?

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