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

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

Job Description

We are at the precipice of a technological revolution, and Nexus Dynamics is leading the charge into 2026. We are seeking a visionary **Senior AI Architect** to design the next generation of intelligent systems. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world applications. You will be responsible for shaping the architecture that defines our future products, ensuring they are not only cutting-edge but also ethical, efficient, and resilient. If you are passionate about the future of AI and want to leave a lasting mark on the technological landscape, we want to hear from you.

Responsibilities

  • Architect and implement scalable, next-generation AI systems tailored for the 2026 landscape, focusing on Generative AI and Quantum-ready infrastructure.
  • Lead a team of elite engineers in researching, developing, and deploying state-of-the-art machine learning models.
  • Define the technical roadmap and strategic vision for our flagship AI initiatives.
  • Mentor junior developers and foster a culture of innovation, technical excellence, and continuous learning.
  • Ensure data integrity, security, and ethical compliance across all AI deployments and model training pipelines.
  • Collaborate closely with product managers, designers, and stakeholders to translate complex requirements into robust technical solutions.
  • Optimize existing systems for performance, latency, and cost-efficiency in a high-traffic environment.

Qualifications

  • 10+ years of experience in software engineering and 5+ years in AI/ML architecture leadership.
  • Proven track record of leading high-performance engineering teams and delivering complex projects on time.
  • Expert knowledge of Python, TensorFlow, PyTorch, and distributed systems architecture.
  • Deep understanding of Large Language Models (LLMs), Transformers, and Generative AI frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Exceptional problem-solving skills, strategic thinking, and the ability to thrive in a fast-paced, futuristic environment.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Leadership Generative AI Cloud Computing

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