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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are Apex Horizon Systems, a pioneering force in artificial intelligence and predictive analytics. As we prepare for the next evolution of digital intelligence, we are seeking a visionary Next-Gen AI Architect to lead our research and development initiatives.

In this role, you will define the architectural landscape for our upcoming 2026 product lines, ensuring our solutions are scalable, secure, and at the forefront of machine learning innovation. If you are passionate about building the future of technology and thrive in a high-performance environment, we want to meet you.

Responsibilities

  • Architect and Design: Lead the end-to-end design of scalable AI systems, focusing on deep learning and neural network architectures for the 2026 roadmap.
  • R&D Leadership: Conduct cutting-edge research to solve complex business problems and implement novel algorithms in production environments.
  • System Optimization: Oversee the optimization of model performance, latency, and throughput to ensure real-time processing capabilities.
  • Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Collaboration: Partner with cross-functional teams including product managers, software engineers, and stakeholders to translate business goals into technical roadmaps.
  • Deployment: Manage the CI/CD pipelines for AI models, ensuring robust monitoring, logging, and automated retraining strategies.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Technical Expertise: Deep proficiency in Python, PyTorch, or TensorFlow with a proven track record of deploying production-grade models.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a senior or lead architect role.
  • Frameworks: Strong experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Exceptional analytical skills with a demonstrated ability to debug complex systems and optimize resource utilization.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS Kubernetes System Design NLP Computer Vision

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