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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI & Future Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the future of technology? Nexus Horizon Labs is seeking a visionary Lead AI & Future Systems Architect to spearhead our initiatives leading up to 2026. In this pivotal role, you will bridge the gap between theoretical AI advancement and practical, scalable infrastructure. We are looking for a thought leader who can anticipate the technological shifts of the coming years and build systems that are not just functional, but revolutionary.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of tech.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a San Francisco hub.
  • Opportunity to mentor the next generation of engineering talent.

As we approach 2026, our mission is to integrate generative AI with edge computing, creating seamless human-machine ecosystems. If you are passionate about the horizon of technology, we want to hear from you.

Responsibilities

  • Design and deploy scalable, high-performance AI architectures for enterprise applications.
  • Lead the strategic roadmap for AI integration, focusing on long-term sustainability and scalability.
  • Collaborate with cross-functional teams to define technical requirements for futuristic product features.
  • Establish best practices for AI ethics, security, and compliance in a rapidly evolving landscape.
  • Conduct research on emerging technologies to predict and mitigate potential system risks.
  • Oversee the technical mentorship of senior engineers and architects within the team.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI and machine learning architecture.
  • Advanced degree (Masters or PhD) in Computer Science, Engineering, or a related field.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS, GCP, Azure).
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Strong understanding of ethical AI principles and data privacy regulations (GDPR, CCPA).
  • Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Cloud Computing AI Ethics TensorFlow AWS Leadership

Ready to Take This Challenge?

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