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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Future Tech Lead

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the precipice of a technological singularity. Nexus Horizon Systems is seeking a visionary Senior AI Architect to define the infrastructure of tomorrow. As we look toward 2026 and beyond, your role will be pivotal in integrating cutting-edge Generative AI and Large Language Models (LLMs) into scalable enterprise solutions.

In this high-impact position, you won't just write code; you will architect the cognitive architecture of our products. We are looking for a thought leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible with Artificial Intelligence.

Responsibilities

  • Architect Next-Gen AI Systems: Design and deploy robust, scalable neural network architectures that power our core platform and future products.
  • Lead R&D Initiatives: Spearhead research into advanced machine learning techniques, including Reinforcement Learning and Computer Vision.
  • Model Optimization: Lead the optimization and fine-tuning of large-scale models to ensure high performance and low latency in production environments.
  • Technical Strategy: Define the technical roadmap for AI integration, ensuring alignment with business goals and industry standards.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior data scientists and software engineers.
  • Collaboration: Partner with product managers and stakeholders to translate complex requirements into elegant technical solutions.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a specialized AI/ML architecture role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and JAX.
  • Cloud Mastery: Proven experience designing systems on AWS, GCP, or Azure with a focus on serverless and containerized environments.
  • Problem Solving: Demonstrated ability to tackle complex problems and innovate solutions in a fast-paced, dynamic environment.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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