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Senior AI Architect 2026

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our 2026 technology roadmap. In this pivotal role, you will design and implement next-generation neural networks and autonomous systems that will define the future of human-machine interaction.

At Nexus Future Labs, we are not just building software; we are engineering the reality of tomorrow. You will work with a world-class team of engineers, ethicists, and futurists to solve the most complex problems in predictive analytics and generative AI.

Why join us?

  • Work on cutting-edge AI that scales to millions of users.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in the heart of SF.
  • Access to proprietary quantum-ready data infrastructure.

Responsibilities

  • Architect scalable, high-performance machine learning pipelines designed for 2026 scalability requirements.
  • Lead research initiatives in Large Language Models (LLMs) and generative adversarial networks (GANs).
  • Collaborate with cross-functional teams to integrate AI solutions into consumer-facing products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure data privacy, security, and ethical AI compliance across all deployed models.
  • Optimize model inference speed and accuracy for edge devices and cloud environments.
  • Stay ahead of the curve by evaluating emerging technologies like neuromorphic computing.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 6 years of professional experience in AI/ML engineering.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS).
  • Proven track record of deploying production-grade AI models at scale.
  • Experience with natural language processing (NLP) and computer vision.
  • Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced startup environment.
  • Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Kubernetes NLP Computer Vision Data Science

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