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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect: Shaping the Future of 2026

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Nexus Horizon Solutions is seeking a visionary AI Architect to lead our next-generation generative AI initiatives. We are not just building software; we are defining the technological landscape for 2026 and beyond.

In this high-impact role, you will bridge the gap between cutting-edge research and scalable production systems. You will work alongside world-class engineers and data scientists to deploy Large Language Models (LLMs) that power our enterprise ecosystem. If you are passionate about the future of AI and want to build solutions that matter, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement robust, scalable infrastructure for Generative AI models and Large Language Models (LLMs).
  • Research & Innovation: Stay at the forefront of AI evolution, researching emerging architectures and methodologies to keep Nexus Horizon ahead of the curve.
  • Model Optimization: Fine-tune and optimize existing models for performance, latency, and cost-efficiency in production environments.
  • Collaboration: Partner with product managers and data scientists to translate complex business requirements into technical AI solutions.
  • Technical Leadership: Mentor junior engineers and establish best practices for AI development and deployment pipelines.

Qualifications

  • Education: Master’s degree in Computer Science, Machine Learning, or a related field; PhD preferred.
  • Experience: 5+ years of experience in software engineering with a strong focus on Machine Learning/AI.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure using managed services (e.g., SageMaker, Vertex AI).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in distributed systems and algorithm design.

Required Skills

Python TensorFlow PyTorch AWS GCP LLMs Generative AI Machine Learning System Design

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