Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

AI Architect (Year 2026) - San Francisco, CA

Nexus Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary AI Architect to spearhead our engineering division. As we prepare for the technological horizon of 2026, you will be the architect of our most ambitious AI initiatives. You will design scalable, next-generation systems that bridge the gap between theoretical breakthroughs and practical enterprise application.

In this pivotal role, you will lead a high-performing team in developing proprietary machine learning models, optimizing neural networks for real-time processing, and integrating quantum-ready algorithms into our cloud infrastructure. If you are passionate about shaping the future of technology and want to define the standards for the year 2026, we want to hear from you.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines tailored for the 2026 technology ecosystem.
  • Lead cross-functional teams in the research and development of Generative AI and Large Language Models (LLMs).
  • Define technical roadmaps and architectural patterns to support rapid scaling and innovation.
  • Conduct rigorous performance testing and optimization of deep learning models to ensure sub-millisecond latency.
  • Collaborate with product managers to translate complex business requirements into robust technical solutions.
  • Establish best practices for data governance, model security, and ethical AI deployment.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Minimum of 7 years of experience in software engineering with a focus on AI/ML architectures.
  • Deep expertise in Python, TensorFlow, PyTorch, and C++.
  • Proven experience designing and managing large-scale cloud infrastructure on AWS, GCP, or Azure.
  • Strong understanding of NLP, Computer Vision, and Reinforcement Learning.
  • Experience with MLOps tools, containerization (Docker/Kubernetes), and CI/CD pipelines.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture AWS GCP Docker Kubernetes NLP MLOps AI Engineering

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