Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision) | San Francisco, CA

NexaTech Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape of 2026 and beyond. At NexaTech Dynamics, we are building the infrastructure for the next era of intelligence. You will be responsible for architecting scalable, high-performance machine learning systems that push the boundaries of what is currently possible.

In this role, you won't just be maintaining existing models; you will be pioneering new approaches in autonomous agents, multimodal learning, and edge computing. Join us in creating the future of AI.

Responsibilities

  • Architect and deploy scalable, high-performance machine learning pipelines designed for the demands of 2026.
  • Lead research initiatives into novel generative AI architectures, transformer models, and reinforcement learning agents.
  • Optimize model inference latency and resource efficiency for real-time, production-grade applications.
  • Establish best practices for MLOps, model governance, and ethical AI implementation frameworks.
  • Collaborate cross-functionally with product, engineering, and design teams to translate complex AI capabilities into user-centric features.
  • Conduct rigorous A/B testing, model evaluation, and safety audits to ensure reliability.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 8+ years of professional experience in AI/ML engineering, with a strong focus on deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of deploying state-of-the-art LLMs and generative models in high-scale production environments.
  • Deep understanding of transformer architectures, attention mechanisms, vector databases, and fine-tuning strategies.
  • Experience with major cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Strong mathematical foundation in statistics, linear algebra, and optimization theory.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow AWS GCP MLOps Generative AI LLMs

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