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2026 Horizon Architect

OmniStream Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the digital future?

OmniStream Solutions is pioneering the next generation of autonomous digital agents for the year 2026. We are seeking a visionary 2026 Horizon Architect to spearhead the development of our flagship predictive intelligence platform. In this role, you will define the technical roadmap for the next decade, integrating cutting-edge generative AI with ethical frameworks.

We are looking for a thought leader who thrives on solving complex scalability challenges and building systems that don't just exist today but define tomorrow. If you are passionate about the trajectory of technology and want to leave a lasting legacy in the AI landscape, this is your opportunity.

Responsibilities

  • Define the 2026 Technical Roadmap: Lead the strategic vision for system architecture, ensuring scalability, security, and performance for future-proof solutions.
  • Architect Advanced AI Systems: Design and implement core machine learning infrastructure using state-of-the-art frameworks to support autonomous agent workflows.
  • Lead Engineering Excellence: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and continuous improvement.
  • Bridge the Gap: Collaborate closely with product and business units to translate futuristic concepts into executable technical specifications.
  • Ensure Ethical AI: Implement governance frameworks to ensure AI systems are transparent, unbiased, and safe for global deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of software engineering experience, with at least 5 years in a Lead Architect or Senior Engineering role.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed system design.
  • Visionary Mindset: Demonstrated ability to anticipate industry trends and adapt technology stacks for long-term viability.
  • Leadership: Proven track record of leading high-performance engineering teams through complex product lifecycles.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Distributed Systems TensorFlow PyTorch Leadership AI Governance

Ready to Take This Challenge?

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