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Senior AI Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

<p>We are seeking a visionary <strong>Senior AI Architect</strong> to lead our R&D initiatives for the 2026 roadmap. At Nexus Horizon, we are building the infrastructure for the next generation of intelligent autonomous systems. You will have the unique opportunity to define the architectural standards for Generative AI and Deep Learning applications that will define the industry standard for the upcoming decade.</p><p><strong>Why Join Us?</strong><br>We offer a competitive compensation package, equity options, and the chance to work on cutting-edge projects that matter.</p>

Responsibilities

  • &lt;ul&gt;&lt;li&gt;&lt;strong&gt;Architect Scalable ML Pipelines:&lt;/strong&gt; Design and implement robust, scalable machine learning architectures capable of processing massive data volumes in real-time.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Lead AI R&amp;D:&lt;/strong&gt; Spearhead research into Large Language Models (LLMs) and generative adversarial networks to drive product innovation.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;System Optimization:&lt;/strong&gt; Optimize model inference latency and throughput to ensure seamless user experiences in high-traffic environments.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Collaborative Engineering:&lt;/strong&gt; Work closely with product managers and software engineers to translate complex AI concepts into deployable code.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;MLOps Governance:&lt;/strong&gt; Establish and maintain rigorous MLOps pipelines, ensuring model versioning, monitoring, and compliance.&lt;/li&gt;&lt;/ul&gt;

Qualifications

  • &lt;ul&gt;&lt;li&gt;&lt;strong&gt;Education:&lt;/strong&gt; Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Experience:&lt;/strong&gt; 5+ years of professional experience in designing and deploying production-grade AI/ML systems.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Technical Skills:&lt;/strong&gt; Deep proficiency in Python, PyTorch, TensorFlow, or JAX.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Cloud Expertise:&lt;/strong&gt; Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Domain Knowledge:&lt;/strong&gt; Proven track record in Natural Language Processing (NLP) or Computer Vision.&lt;/li&gt;&lt;/ul&gt;

Required Skills

Python PyTorch TensorFlow AWS MLOps NLP Deep Learning Machine Learning Kubernetes Docker

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