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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Future Tech

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the Future of Intelligence.

Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our next-generation generative AI and machine learning infrastructure. In this role, you won't just build models; you will architect the future of human-computer interaction. Join a elite team pushing the boundaries of what's possible in the AI era.


We offer a competitive salary, equity package, and a cutting-edge environment where innovation is the only metric that matters. If you are passionate about the future of technology and want to leave a lasting legacy, this is your opportunity.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, scalable machine learning infrastructure capable of handling enterprise-grade workloads.
  • Lead Technical Strategy: Define the technical roadmap for AI adoption, ensuring alignment with business goals and futuristic industry trends.
  • Model Optimization: Oversee the deployment and fine-tuning of Large Language Models (LLMs) and neural networks to maximize performance.
  • Team Leadership: Mentor and manage a high-performing team of data scientists and AI engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with product and engineering teams to integrate AI solutions seamlessly into our core products.
  • R&D Exploration: Stay ahead of the curve on emerging AI technologies, including quantum computing applications and neuromorphic engineering.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a leadership role within AI or Machine Learning.
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Leadership: Proven track record of leading high-stakes technical projects and managing diverse engineering teams.
  • Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.
  • Problem Solving: Demonstrated ability to solve complex, open-ended problems in dynamic environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Azure Kubernetes Agile Leadership

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