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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the technology landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation initiatives. In this role, you won't just be writing code; you will be defining the intelligent systems that will define the future of enterprise automation.

We are looking for a technical leader who thrives on solving complex problems at the intersection of Generative AI, LLMs, and scalable infrastructure. If you are passionate about deploying cutting-edge AI solutions that have a tangible impact on the world, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning architectures aimed at achieving 2026-era performance benchmarks.
  • Lead the research and integration of Agentic AI workflows and advanced Large Language Models into production systems.
  • Collaborate with cross-functional product teams to translate abstract business goals into concrete technical AI roadmaps.
  • Optimize model inference speed and resource utilization to ensure seamless user experiences in high-demand environments.
  • Establish robust MLOps pipelines for continuous training, monitoring, and deployment of AI models.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • 5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud-native technologies (Kubernetes, Docker).
  • Extensive experience with LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering strategies.
  • Strong understanding of data engineering principles, including ETL processes and data governance.
  • Proven track record of leading high-performance teams and delivering projects under strict deadlines.

Required Skills

Python PyTorch TensorFlow Kubernetes MLOps Machine Learning Large Language Models AWS GCP AI Strategy

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