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Senior AI Architect | Shaping the 2026 Future

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the next generation of Artificial Intelligence? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our strategic roadmap for the 2026 era. We are not just building today's solutions; we are engineering the infrastructure that will define the future of human-machine collaboration. If you thrive in high-stakes environments and have a passion for pushing the boundaries of what's possible in Generative AI and Autonomous Systems, we want to meet you.

As part of our elite Engineering team, you will be responsible for designing scalable, resilient, and ethical AI systems that stand the test of time. You will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions remain at the cutting edge of technology.

Key Objectives

  • Strategic Vision: Define and execute the technical roadmap for 2026, focusing on Agentic AI and Predictive Analytics.
  • System Design: Architect end-to-end ML pipelines that handle billions of data points with sub-millisecond latency.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with product management and security teams to align technical capabilities with business goals.

Benefits

  • Competitive salary and equity package.
  • Unlimited PTO and comprehensive health coverage.
  • Annual conference budget for professional development.
  • Remote-first flexibility with premium co-working stipends.

Responsibilities

  • Design and implement robust AI architectures capable of scaling to enterprise-level demands.
  • Lead the research and integration of cutting-edge LLMs (Large Language Models) and multi-modal AI agents.
  • Optimize model inference and training efficiency to reduce operational costs by 30%.
  • Establish best practices for data governance, security, and ethical AI usage.
  • Conduct technical due diligence on emerging technologies to guide strategic investments.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, C++, and distributed computing frameworks (PyTorch, TensorFlow, JAX).
  • Proven experience deploying AI models in production environments (AWS, GCP, Azure).
  • Strong understanding of MLOps, CI/CD, and cloud infrastructure scalability.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, ambiguous environment.
  • Required Skills

    Python Machine Learning Deep Learning AWS GCP MLOps System Design PyTorch TensorFlow NLP Generative AI Agentic AI Kubernetes Docker

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