Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect 2026 | San Francisco, CA

Nexus Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to engineer the systems that will define the next decade of intelligent computing? Nexus Horizon Innovations is seeking a visionary Senior AI Architect to spearhead our research into next-generation Generative AI and autonomous systems.

In this role, you won't just write code; you will architect the foundational models that power our enterprise solutions. We are looking for a technologist with a passion for pushing the boundaries of what is possible in 2026 and beyond. If you thrive in a high-performance environment and want to shape the future of Artificial Intelligence, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with premium office amenities.

Responsibilities

  • Design and implement scalable neural network architectures for LLMs and multimodal models.
  • Lead the full lifecycle of AI model development, from data ingestion and preprocessing to training, fine-tuning, and deployment.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
  • Evaluate emerging AI frameworks and methodologies to drive technological innovation within the organization.
  • Ensure robust security, fairness, and ethical compliance in all AI systems deployed.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven experience building and deploying large-scale AI models on cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, computer vision, or reinforcement learning.
  • Experience with MLOps tools such as MLflow, Kubeflow, or Docker/Kubernetes.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS MLOps Docker Kubernetes Natural Language Processing AI Research

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All