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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are at the forefront of technological evolution, pioneering the infrastructure required for the AI landscape of 2026 and beyond. Nexus Horizon Systems is seeking a visionary Senior AI/ML Architect to lead the design and implementation of next-generation artificial intelligence systems.

In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable engineering solutions. You will be responsible for defining the architectural blueprints for autonomous agents, advanced generative models, and distributed learning frameworks that will define the industry standard in the coming years.

Why Join Us?

  • Work on cutting-edge projects that shape the future of technology.
  • Competitive compensation package with equity opportunities.
  • Flexible work environment with a focus on innovation and autonomy.

Responsibilities

  • Architect Future-Ready Systems: Design and oversee the deployment of scalable machine learning infrastructure capable of handling the computational demands of 2026.
  • Model Strategy: Define the roadmap for integrating emerging AI paradigms, including LLMs, reinforcement learning, and edge computing.
  • Cross-Functional Leadership: Collaborate with data scientists, software engineers, and product managers to translate complex research into robust production code.
  • Performance Optimization: Implement strategies to maximize inference speed, accuracy, and energy efficiency in AI models.
  • Technical Vision: Stay ahead of industry trends to recommend technologies and methodologies that give Nexus Horizon a competitive edge in the future tech market.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: Minimum 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Strategic Thinking: Proven track record of leading architectural decisions that have scaled to millions of users or high-volume data processing.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes Docker Distributed Systems NLP Computer Vision Cloud Architecture AWS GCP

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