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2026 AI Architect - San Francisco

Apex Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 300.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

<p>At Apex Horizon Solutions, we don't just predict the future; we build it. As we accelerate towards the year 2026, we are seeking a pioneering **Next-Gen AI Architect** to lead our cutting-edge research division. In this pivotal role, you will define the architectural blueprints for the next generation of autonomous systems, ensuring scalability, ethical alignment, and unprecedented performance.</p><br><p>We are looking for a visionary who understands the convergence of Generative AI, Quantum Computing, and Human-Computer Interaction. You will be responsible for bridging the gap between theoretical breakthroughs and practical, deployable solutions that will define the technological landscape of the near future.</p>

Responsibilities

  • &lt;ul&gt;&lt;li&gt;Architect and design scalable, high-performance AI infrastructure for next-generation applications.&lt;/li&gt;&lt;li&gt;Lead research and development initiatives in Large Language Models (LLMs) and multi-agent systems.&lt;/li&gt;&lt;li&gt;Define and implement robust AI governance, safety, and ethical frameworks.&lt;/li&gt;&lt;li&gt;Collaborate with cross-functional teams including quantum engineers and data scientists to integrate hybrid computing models.&lt;/li&gt;&lt;li&gt;Mentor junior architects and foster a culture of innovation and continuous learning within the engineering team.&lt;/li&gt;&lt;/ul&gt;

Qualifications

  • &lt;ul&gt;&lt;li&gt;Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent extensive experience).&lt;/li&gt;&lt;li&gt;10+ years of experience in software architecture, with at least 5 years specifically in AI/ML engineering.&lt;/li&gt;&lt;li&gt;Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, and JAX.&lt;/li&gt;&lt;li&gt;Proven track record of deploying large-scale machine learning models in production environments.&lt;/li&gt;&lt;li&gt;Strong understanding of ethical AI principles, bias mitigation, and explainable AI (XAI).&lt;/li&gt;&lt;li&gt;Exceptional leadership and communication skills, capable of articulating complex technical concepts to diverse stakeholders.&lt;/li&gt;&lt;/ul&gt;

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow PyTorch Cloud Architecture Leadership Deep Learning NLP

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