Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect | 2026 Vision

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the future? At QuantumLeap Technologies, we are building the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our Generative AI and Autonomous Systems division. In this role, you won't just write code; you will define the technical roadmaps and ethical frameworks that will power the next generation of intelligent applications.

Join a team of pioneers pushing the boundaries of Machine Learning, Neural Networks, and Predictive Analytics. We value innovation, autonomy, and a relentless drive to solve humanity's most complex problems through code. This is a unique opportunity to shape the technological landscape of the future.

Responsibilities

  • Lead the architectural design and implementation of scalable Machine Learning pipelines and Large Language Models (LLMs).
  • Define long-term technical roadmaps for AI deployment, ensuring scalability, security, and reliability for 2026 standards.
  • Collaborate closely with product and engineering teams to translate complex business requirements into robust AI solutions.
  • Ensure all AI systems adhere to strict ethical guidelines, safety protocols, and regulatory compliance standards.
  • Mentor junior engineers and foster a culture of continuous learning, technical excellence, and innovation.
  • Optimize existing models for latency and throughput in high-traffic production environments.

Qualifications

  • 5+ years of experience in AI/ML engineering, with a strong focus on Deep Learning and Natural Language Processing (NLP).
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience deploying and serving models in production environments with high availability and fault tolerance.
  • Advanced degree in Computer Science, Mathematics, Statistics, or a related field is preferred.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes NLP Generative AI Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All