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Senior AI Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape of 2026. Nexus Future Labs is at the forefront of the next industrial revolution, building autonomous systems and ethical deep learning frameworks. If you are passionate about pushing the boundaries of Generative AI and want to shape the future of work, this is your opportunity to lead a world-class engineering team.

In this role, you will bridge the gap between theoretical AI research and production-grade software engineering, ensuring our solutions are scalable, secure, and transformative.

Responsibilities

  • Architect the 2026 AI Stack: Design and implement scalable, distributed AI architectures utilizing LLMs, Agents, and predictive modeling.
  • Technical Leadership: Guide the engineering team in adopting cutting-edge frameworks and best practices for production AI deployment.
  • Strategic Roadmap: Collaborate with product leaders to define the technical vision and roadmap for our upcoming product releases.
  • Mentorship: Foster a culture of innovation by mentoring senior engineers and conducting code reviews.
  • Performance Optimization: Continuously optimize model inference and training pipelines to reduce latency and improve efficiency.
  • Research Integration: Stay ahead of the curve by integrating emerging research from top AI conferences and academic papers.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years focused on Machine Learning and AI.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; extensive experience with SQL and NoSQL databases.
  • Cloud Mastery: Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Proven track record of solving complex, ambiguous problems in high-pressure environments.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP Kubernetes Docker SQL NLP Generative AI System Architecture

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