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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Systems Architect (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Future Labs is pioneering the next generation of intelligent systems. We are seeking a visionary **Lead AI Systems Architect** to spearhead our groundbreaking initiatives targeting the 2026 product cycle. In this pivotal role, you will be at the forefront of integrating advanced machine learning models into scalable, real-world applications, defining the technical direction of our next-generation ecosystem. You will work closely with our engineering and product teams to build robust, efficient, and ethical AI solutions that will shape the future of technology.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure aligned with the 2026 product roadmap.
  • Lead the end-to-end development and optimization of deep learning models, focusing on NLP and Computer Vision.
  • Define technical standards, coding best practices, and MLOps pipelines to ensure system reliability and scalability.
  • Collaborate with cross-functional product managers and stakeholders to translate business objectives into technical specifications.
  • Mentor and guide a team of data scientists and AI engineers to foster professional growth and technical excellence.
  • Conduct rigorous code reviews, performance testing, and architectural reviews to drive continuous improvement.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering with a strong focus on AI/ML systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • Strong understanding of distributed systems, data architecture, and containerization technologies.
  • Demonstrated experience in leading technical teams and managing complex, multi-disciplinary projects.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Computing Distributed Systems Leadership San Francisco AI Architecture

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