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Senior AI Architect (AGI Readiness)

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

Job Description

We are currently building the infrastructure for the technological breakthroughs expected in 2026 and beyond. Nexus Horizon AI is seeking a visionary Senior AI Architect to spearhead our AGI (Artificial General Intelligence) roadmap. If you thrive on solving complex, unsolved problems and want to shape the future of human-machine interaction, this is your opportunity to lead from the front.

Our mission is to engineer systems that not only understand context but also predict intent, creating a seamless bridge between human creativity and artificial processing power.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, robust architectures capable of supporting the computational demands of next-generation AI models.
  • Lead AGI Research: Drive the research and development of foundational AI capabilities, including natural language understanding, reasoning, and multimodal learning.
  • Optimize Model Performance: Fine-tune large language models and transformers to achieve superior latency, accuracy, and efficiency on edge devices and cloud infrastructure.
  • Establish Ethical Frameworks: Define and enforce rigorous safety protocols and ethical guidelines to ensure AI deployment aligns with societal values and regulatory standards.
  • Mentor High-Performance Teams: Lead a team of elite engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
  • Strategic Roadmapping: Collaborate with product leadership to define the 2026 product vision and translate technical requirements into executable engineering roadmaps.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
  • Experience: 7+ years of professional experience in machine learning, deep learning, or AI engineering roles.
  • Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow. Proven track record of working with Large Language Models (LLMs) and Generative AI.
  • System Design: Extensive experience designing distributed systems, microservices, and high-throughput data pipelines.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.
  • Leadership: Strong leadership skills with a history of mentoring engineers and driving cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow NLP LLMs Deep Learning System Design Cloud Architecture Kubernetes AWS GCP Agile AI Ethics

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