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Senior AI Architect (2026 Vision) - San Francisco

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Horizon Labs is looking for a visionary Senior AI Architect to define our 2026 strategic roadmap and lead the next generation of generative models.


As we stand on the precipice of the AI revolution, we need a leader who understands not just the code, but the vision. In this role, you will be at the forefront of developing scalable, ethical, and groundbreaking AI systems that will redefine human-machine interaction. If you thrive in ambiguity and want to build the tools of tomorrow, today, we want to hear from you.


Why Join Us?

  • Work on cutting-edge projects that define the industry standards for 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a physical hub in SF.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI infrastructure capable of handling next-gen data volumes and processing needs.
  • Lead R&D Initiatives: Spearhead research into emerging technologies such as Generative Adversarial Networks (GANs) and Autonomous Agents.
  • Model Optimization: Oversee the fine-tuning and deployment of Large Language Models (LLMs) for specific enterprise use cases.
  • Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Strategic Planning: Collaborate with product leadership to translate business goals into technical roadmaps for the 2026 timeframe.
  • Ethical AI Compliance: Ensure all systems adhere to rigorous ethical guidelines and bias mitigation protocols.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 7+ years of experience in software engineering and 4+ years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Apache Spark, Kubernetes).
  • Domain Knowledge: Deep understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Agile Mindset: Experience leading high-performance teams in fast-paced, agile environments.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Deep Learning NLP Cloud Architecture System Design Kubernetes

Ready to Take This Challenge?

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

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