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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Shaping the 2026 Future

FutureScale Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge research division. At FutureScale Solutions, we are not just building for today; we are architecting the intelligent systems that will define the 2026 technology landscape. You will have the opportunity to work on Generative AI, Large Language Models (LLMs), and autonomous agents that solve real-world problems.

In this role, you will define the technical roadmap for our next-generation products, mentor a team of elite engineers, and ensure our infrastructure is scalable for future growth.

Responsibilities

  • Design and implement scalable, high-performance machine learning pipelines for production deployment.
  • Lead the architecture of proprietary AI models, focusing on Generative AI and NLP advancements.
  • Collaborate with product managers and engineers to translate complex business requirements into technical solutions.
  • Optimize model latency and accuracy to meet enterprise-grade standards.
  • Stay ahead of emerging 2026 tech trends, including edge computing and neuromorphic engineering.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.

Qualifications

  • 5+ years of experience in software engineering and machine learning, with at least 2 years in a senior architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face libraries.
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Master’s degree or PhD in Computer Science, AI, or a related field is preferred.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Artificial Intelligence NLP TensorFlow PyTorch Cloud Computing Docker Kubernetes Generative AI

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