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Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect (2026 Vision) to lead the next generation of intelligent systems. At Nexus Horizon Labs, we are not just building software for today; we are architecting the foundational infrastructure for the year 2026 and beyond.

In this role, you will define the roadmap for our advanced generative AI models, ensuring they are scalable, secure, and ethically sound. You will bridge the gap between theoretical AI research and practical, high-impact engineering solutions. Join us in shaping the future of human-machine interaction.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable machine learning pipelines capable of handling real-time, high-volume data streams for autonomous agents.
  • Strategic Roadmapping: Define the technical vision for AI evolution, anticipating trends in 2026 such as quantum computing integration and edge AI.
  • Model Optimization: Lead efforts to fine-tune large language models (LLMs) and neural networks for maximum efficiency and reduced latency.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to translate complex requirements into robust technical architectures.
  • Ethical AI Governance: Establish and enforce guidelines for responsible AI usage, ensuring bias mitigation and data privacy compliance.
  • Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting advanced technical workshops.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of professional experience in software engineering with a focus on AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • System Design: Proven track record of designing fault-tolerant systems and cloud-native applications (AWS/GCP/Azure).
  • Future-Forward Mindset: Demonstrated ability to research and prototype emerging technologies relevant to the 2026 landscape.
  • Communication: Excellent verbal and written skills for presenting complex technical concepts to non-technical stakeholders.

Required Skills

AI Architecture Machine Learning Python PyTorch TensorFlow Distributed Systems Cloud Computing (AWS/Azure) System Design Leadership

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