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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of technology? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our groundbreaking initiatives leading up to the 2026 technological horizon. We are building the infrastructure for tomorrow, focusing on advanced Generative AI, Neural Networks, and Autonomous Systems.

In this pivotal role, you will design scalable, secure, and high-performance AI solutions that define the next generation of human-computer interaction. If you are a technical leader passionate about the convergence of AI and business strategy, this is your opportunity to drive innovation at scale.

Responsibilities

  • Architect & Design: Lead the end-to-end architecture for large-scale AI models, ensuring scalability, security, and performance for 2026 deployment.
  • Roadmap Strategy: Define the technical vision and roadmap for AI integration, aligning with company goals and emerging industry standards.
  • Model Optimization: Oversee the development and fine-tuning of Generative AI models to improve accuracy and reduce computational costs.
  • Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Stakeholder Collaboration: Partner with product managers and business leaders to translate complex technical concepts into actionable business strategies.
  • Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architect role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and CUDA. Proven experience with Large Language Models (LLMs) and Neural Architecture Search.
  • System Design: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps pipelines.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
  • Communication: Exceptional verbal and written communication skills with the ability to present technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps Distributed Systems AI Ethics CUDA AWS Azure GCP

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