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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - San Francisco, CA

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment initiatives for the 2026 technology roadmap. At Nexus Horizon Technologies, we are building the infrastructure that will define the next generation of intelligent systems. You will be at the forefront of integrating Generative AI, Large Language Models, and scalable cloud architectures to solve complex global challenges.

If you are passionate about pushing the boundaries of what is possible with artificial intelligence and want to shape the future of enterprise tech, we want to meet you.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI system architectures aligned with our 2026 strategic vision.
  • Model Deployment: Oversee the end-to-end lifecycle of machine learning models, from research and development to production deployment and monitoring.
  • Technical Strategy: Define technical roadmaps and best practices for AI engineering, ensuring robustness, security, and compliance with industry standards.
  • Collaboration: Partner with cross-functional teams including product managers, data scientists, and software engineers to translate business requirements into technical solutions.
  • Optimization: Continuously optimize model performance, latency, and cost-efficiency in cloud environments.
  • Mentorship: Lead and mentor a team of talented engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering and 5+ years in designing and deploying complex machine learning systems.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with MLOps tools (MLflow, Kubeflow).
  • Cloud Expertise: Deep understanding of cloud architecture on AWS, GCP, or Azure.
  • Problem Solving: Strong analytical skills with the ability to troubleshoot complex technical issues and innovate under pressure.
  • Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes MLOps System Design Machine Learning Deep Learning

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