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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join 2026 Dynamics: Architecting the Future of Intelligence

Are you a visionary technical leader ready to define the next era of Artificial Intelligence? 2026 Dynamics is seeking a highly skilled Senior AI Architect to spearhead our cutting-edge research and deployment initiatives. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software solutions.

As part of the 2026 team, you will work in a fast-paced, innovative environment, collaborating with top-tier engineers and data scientists to build systems that solve complex global challenges. If you are passionate about Generative AI, Large Language Models (LLMs), and ethical AI implementation, we want to hear from you.

Responsibilities

  • Design and architect scalable, high-performance machine learning pipelines and infrastructure.
  • Lead the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions.
  • Collaborate with cross-functional teams to integrate AI models into enterprise applications seamlessly.
  • Optimize model inference performance, latency, and cost efficiency at scale.
  • Establish best practices for MLOps, CI/CD, and model monitoring to ensure reliability and governance.
  • Conduct code reviews and mentor junior engineers and data scientists.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of MLOps principles and experience with cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying complex models into production environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field is preferred.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP MLOps Kubernetes Docker Machine Learning Deep Learning LLM Generative AI

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