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Senior AI Architect | Project 2026 | San Francisco, CA

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

<p>Apex Innovation Labs is seeking a visionary Senior AI Architect to spearhead <strong>Project 2026</strong>, a groundbreaking initiative aimed at developing next-generation autonomous intelligence systems.</p><p>In this pivotal role, you will architect the foundational neural frameworks and scalable infrastructure required to power our future products. You will bridge the gap between theoretical machine learning breakthroughs and production-grade engineering.</p>

Responsibilities

  • &lt;ul&gt;&lt;li&gt;Architect and implement scalable deep learning models and neural networks.&lt;/li&gt;&lt;li&gt;Lead the technical strategy for the Project 2026 infrastructure, ensuring high availability and performance.&lt;/li&gt;&lt;li&gt;Mentor junior engineers and data scientists to foster a culture of innovation.&lt;/li&gt;&lt;li&gt;Optimize algorithms for low-latency processing and high throughput in edge environments.&lt;/li&gt;&lt;li&gt;Collaborate cross-functionally with product managers and researchers to define roadmap requirements.&lt;/li&gt;&lt;li&gt;Ensure compliance with ethical AI standards and data governance regulations.&lt;/li&gt;&lt;/ul&gt;

Qualifications

  • &lt;ul&gt;&lt;li&gt;Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.&lt;/li&gt;&lt;li&gt;10+ years of experience in designing complex software systems with a focus on AI/ML.&lt;/li&gt;&lt;li&gt;Expert proficiency in Python, PyTorch, and TensorFlow.&lt;/li&gt;&lt;li&gt;Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).&lt;/li&gt;&lt;li&gt;Strong background in distributed systems and high-performance computing.&lt;/li&gt;&lt;li&gt;Demonstrated ability to lead engineering teams and drive technical decision-making.&lt;/li&gt;&lt;/ul&gt;

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Machine Learning System Design AI Architecture Distributed Systems

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