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Senior AI Architect (Generative AI)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on the precipice of a technological revolution. Nexus Future Tech is seeking a visionary Senior AI Architect to spearhead our generative AI initiatives. In this role, you will design the core infrastructure for next-generation language models and multimodal systems, shaping the way humanity interacts with technology in 2026 and beyond.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of artificial intelligence. You will work with state-of-the-art frameworks, ensuring our solutions are not only scalable and efficient but also ethically aligned with the future of work.

Responsibilities

  • Design and architect scalable, fault-tolerant systems for Large Language Models (LLMs) and generative neural networks.
  • Lead the research and development of novel algorithms to improve model accuracy, speed, and energy efficiency.
  • Collaborate with cross-functional teams (product, engineering, and ethics boards) to translate business requirements into technical AI solutions.
  • Oversee the end-to-end MLOps pipeline, including model training, validation, and deployment.
  • Ensure compliance with data privacy regulations and ethical AI standards.
  • Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 8+ years of professional experience in software engineering, with at least 5 years specializing in AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven track record of deploying production-grade machine learning models at scale.
  • Strong understanding of Natural Language Processing (NLP) and Deep Learning architectures (Transformers, GANs).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS Azure Docker Kubernetes Distributed Systems

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