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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect – Project 2026

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

Job Description

We are at the forefront of the next technological revolution. Nexus Future Systems is currently seeking a visionary Lead AI Architect to spearhead Project 2026, our initiative to redefine the boundaries of generative intelligence and autonomous systems. You will be at the helm of building scalable, ethical, and transformative AI infrastructures that will power the next decade of human-machine interaction. If you are driven by complexity and innovation, this is your opportunity to shape the future.

Responsibilities

  • Architectural Leadership: Design and implement the core architectural framework for Project 2026, overseeing the entire lifecycle from theoretical model design to production deployment.
  • Team Management: Lead, mentor, and inspire a high-performing team of data scientists, ML engineers, and researchers to drive technical excellence.
  • System Scalability: Ensure our AI models are scalable, robust, and capable of processing petabytes of data with minimal latency.
  • Strategic Roadmapping: Translate high-level business objectives into technical roadmaps and actionable development plans.
  • Ethical AI Compliance: Define and enforce best practices for ethical AI, ensuring bias mitigation and transparency in all model outputs.
  • Collaboration: Partner with product and engineering stakeholders to integrate cutting-edge AI solutions seamlessly into our software ecosystem.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of experience in machine learning, deep learning, and large-scale software architecture.
  • Technical Proficiency: Expert proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
  • Specialization: Deep understanding of Natural Language Processing (NLP) or Computer Vision, with a focus on Generative AI models.
  • Problem Solving: Demonstrated ability to solve complex technical challenges and optimize systems for performance and cost.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning System Architecture Leadership NLP Generative AI

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