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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

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

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Senior AI Architect to lead the design and implementation of our next-generation artificial intelligence infrastructure for the 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms remain at the cutting edge of technology.

Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced machine learning. We offer a competitive salary, equity packages, and the opportunity to shape the digital landscape of tomorrow.

Responsibilities

  • Architectural Leadership: Define the high-level system architecture for large-scale AI models and data pipelines, ensuring scalability, reliability, and security.
  • Roadmap Strategy: Collaborate with the CTO and product teams to define the technical vision and 2026 technology roadmap.
  • Model Optimization: Oversee the deployment, fine-tuning, and optimization of LLMs and generative AI models to maximize performance and reduce latency.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Cross-Functional Collaboration: Work closely with data engineering, product management, and security teams to integrate AI solutions seamlessly into the broader software ecosystem.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Infrastructure: Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
  • Soft Skills: Exceptional problem-solving abilities, excellent communication skills, and a proven track record of leading technical teams.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Cloud Computing Kubernetes AWS GCP Leadership

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