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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future-Systems Architect (2026 Roadmap)

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

Job Description

We are on the frontier of innovation, building the intelligent infrastructure for the year 2026 and beyond. OmniStream Technologies is seeking a visionary Senior AI & Future-Systems Architect to lead the development of next-generation artificial intelligence solutions.

In this high-impact role, you will define the architectural standards for scalable machine learning systems, integrating cutting-edge quantum-inspired algorithms into our core platforms. If you are passionate about solving complex problems and shaping the future of technology, we want to hear from you.

Why Join Us?
β€’ Work on mission-critical projects that define the industry standard.
β€’ Competitive compensation and equity packages.
β€’ Flexible remote and hybrid work options.
β€’ Access to state-of-the-art computing resources.

Responsibilities

  • Architect and deploy scalable AI models designed to meet 2026 enterprise demands and beyond.
  • Lead the integration of quantum-inspired algorithms into classical machine learning pipelines.
  • Collaborate with cross-functional teams to define technical roadmaps and product vision.
  • Optimize deep learning models for real-time inference and edge computing environments.
  • Establish best practices for Machine Learning Operations (MLOps) and data governance.
  • Mentor junior engineers and conduct code reviews to ensure architectural integrity.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering or systems architecture.
  • Expert proficiency in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of distributed systems, microservices, and high-availability architecture.
  • Proven track record of leading projects from concept to production deployment.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning TensorFlow PyTorch Cloud Architecture System Design Quantum Computing MLOps

Ready to Take This Challenge?

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