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Senior AI Architect (2026 Vision)

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

Job Description

Shape the Future of Intelligence.

Nexus Future Labs is seeking a visionary Senior AI Architect to lead our cutting-edge research initiatives. As we build the foundational models for 2026 and beyond, you will define the architecture for scalable, ethical, and high-performance artificial intelligence systems. This is an opportunity to work at the intersection of deep learning, generative AI, and enterprise scalability.

We are looking for a leader who not only understands the current landscape but can anticipate the technological shifts defining the next decade.

Responsibilities

  • Design and deploy end-to-end AI/ML architectures capable of scaling to millions of users.
  • Lead the research and implementation of next-generation Generative AI models (LLMs, Diffusion).
  • Establish best practices for model training, fine-tuning, and evaluation to ensure high accuracy and reliability.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Oversee data infrastructure pipelines, ensuring high-quality data ingestion and processing.
  • Advocate for AI ethics and safety standards across the organization.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of Large Language Models (LLMs) and prompt engineering techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch LLMs Machine Learning Cloud Architecture AWS GCP Docker Kubernetes AI Ethics NLP Deep Learning

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