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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Synergy Architect: 2026 Horizon

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Senior AI Synergy Architect to spearhead our initiatives for the 2026 technological transition. In this pivotal role, you will bridge the gap between generative AI, neural interfaces, and scalable cloud infrastructure.

We are not just building software; we are defining the standard for human-machine collaboration in the coming decade. If you thrive in high-pressure environments and possess a deep understanding of artificial general intelligence (AGI) trajectories, we want to hear from you.

Responsibilities

  • Design and implement the core architectural framework for the 2026 AI ecosystem, ensuring seamless interoperability between quantum and classical computing systems.
  • Lead a cross-functional team of data scientists, engineers, and ethicists to define the roadmap for next-generation neural networks.
  • Oversee the deployment of large-scale machine learning models, optimizing for real-time inference and energy efficiency.
  • Establish robust ethical guidelines and safety protocols for autonomous AI agents to ensure responsible innovation.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • Collaborate with product teams to translate complex 2026 strategic visions into actionable technical roadmaps.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in leading AI architecture and machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
  • Proven track record of deploying production-grade LLMs (Large Language Models) and multimodal AI systems.
  • Strong understanding of data privacy regulations, including GDPR and CCPA, applied to AI contexts.
  • Exceptional problem-solving skills with the ability to navigate ambiguity in uncharted technological territories.

Required Skills

Python Machine Learning Deep Learning AI Architecture Cloud Computing Neural Networks System Design TensorFlow PyTorch

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