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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Initiative

2026 Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of intelligence? 2026 Dynamics is on the hunt for a visionary Lead AI Architect to spearhead our next-generation artificial intelligence infrastructure. In this high-impact role, you won't just manage code; you will define the strategic direction of our cognitive systems.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn complex algorithms into scalable, real-world solutions.

Responsibilities

  • Design and implement robust, scalable AI and machine learning architectures for enterprise-grade applications.
  • Lead the research and integration of cutting-edge Large Language Models (LLMs) and generative AI technologies.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical roadmaps.
  • Establish and enforce best practices for data security, privacy, and ethical AI usage.
  • Mentor junior developers and senior architects, fostering a culture of continuous learning and innovation.
  • Optimize existing models for latency, throughput, and cost-efficiency in production environments.

Qualifications

  • 10+ years of experience in software engineering with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and managing complex project lifecycles.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.
  • Experience with MLOps pipelines and model deployment strategies.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning MLOps Cloud Architecture Leadership

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