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Lead AI Architect: 2026 Roadmap | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

<p>Are you ready to define the future of intelligent systems? Nexus Future Systems is looking for a visionary <strong>Lead AI Architect</strong> to spearhead our roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical research and production-grade machine learning, building the infrastructure that powers the next generation of human-AI interaction.<br><br>We are not just building software; we are engineering the fabric of tomorrow. If you have a passion for pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and large-scale model deployment, we want to hear from you.</p>

Responsibilities

  • &lt;ul&gt;&lt;li&gt;Architect and deploy scalable, high-performance machine learning pipelines capable of handling petabyte-scale data.&lt;/li&gt;&lt;li&gt;Define the technical vision and roadmap for the 2026 product suite, aligning with business objectives.&lt;/li&gt;&lt;li&gt;Lead a multidisciplinary team of data scientists, ML engineers, and researchers to drive innovation.&lt;/li&gt;&lt;li&gt;Optimize existing models for inference speed, latency, and cost-efficiency in cloud environments.&lt;/li&gt;&lt;li&gt;Stay at the forefront of industry trends, researching and evaluating emerging technologies like Neural Architecture Search and Quantum Computing integration.&lt;/li&gt;&lt;li&gt;Establish best practices for code quality, testing, and deployment (CI/CD) in AI environments.&lt;/li&gt;&lt;/ul&gt;

Qualifications

  • &lt;ul&gt;&lt;li&gt;Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field from a top-tier institution.&lt;/li&gt;&lt;li&gt;10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture projects.&lt;/li&gt;&lt;li&gt;Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Spark, Kubernetes).&lt;/li&gt;&lt;li&gt;Proven track record of deploying production-ready Generative AI models (LLMs, Diffusion models).&lt;/li&gt;&lt;li&gt;Strong understanding of MLOps, data governance, and ethical AI principles.&lt;/li&gt;&lt;li&gt;Excellent verbal and written communication skills for technical leadership and stakeholder management.&lt;/li&gt;&lt;/ul&gt;

Required Skills

Python Machine Learning AI Architecture TensorFlow PyTorch MLOps Cloud Computing Leadership

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