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Senior AI Architect (2026 Future Tech)

OmniStream Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Pioneers of 2026 Technology

OmniStream Systems is at the forefront of defining the technological landscape for the upcoming era. As a Senior AI Architect, you will play a pivotal role in architecting the systems that will power the year 2026 and beyond. We are looking for a visionary leader who combines deep technical expertise with a strategic mindset to build scalable, autonomous AI infrastructures.

Why Join Us?

β€’ Work on cutting-edge projects that define the future of automation.

β€’ Competitive compensation package and equity options.

β€’ Flexible remote-first culture with state-of-the-art equipment.

β€’ Collaborate with world-class engineers and researchers.

Responsibilities

  • Design and architect scalable AI and Machine Learning pipelines for the 2026 roadmap.
  • Lead the development of next-generation autonomous systems using Large Language Models (LLMs).
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Define technical standards and best practices for AI implementation across the organization.
  • Conduct code reviews and provide mentorship to junior engineers and data scientists.
  • Optimize existing models for latency, throughput, and cost efficiency.
  • Stay abreast of the latest advancements in generative AI and quantum computing.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8 years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Proven experience designing and deploying production-grade ML systems (e.g., TensorFlow, PyTorch, Kubeflow).
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and CI/CD pipelines.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Cloud Computing MLOps Kubernetes TensorFlow Leadership

Ready to Take This Challenge?

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