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Senior AI Architect (2026 Vision)

OmniStream Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Welcome to the forefront of technological evolution. OmniStream Technologies is seeking a visionary Senior AI Architect (2026 Vision) to lead our R&D initiatives in building the digital infrastructure of tomorrow. If you are passionate about shaping the future of Generative AI, Quantum integration, and autonomous systems, this is your opportunity to define the standard for 2026 and beyond.

We are not just building software; we are architecting the future. You will work with a world-class team of data scientists, engineers, and strategists to deploy next-generation neural networks and scalable cloud ecosystems.

Why Join Us?

  • Work on cutting-edge projects that define the tech landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Professional development budget for conferences and certifications.

Responsibilities

  • Design and implement robust, scalable AI architectures for future-proof applications.
  • Lead the research and development of Generative AI models targeting deployment in 2026.
  • Collaborate with cross-functional teams to translate complex business requirements into technical solutions.
  • Optimize deep learning pipelines for high-performance computing environments.
  • Establish best practices for data governance, model security, and ethical AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Stay ahead of industry trends, specifically focusing on the evolution of AI capabilities.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of deploying large-scale machine learning models in production.
  • Experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • Strong understanding of neural network architectures and natural language processing.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes AWS GCP Agile Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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