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Lead AI Architect – Future Systems (2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow, today?

Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our next-generation Generative AI initiatives. As we look ahead to 2026, we are building the foundational infrastructure that will redefine human-computer interaction. If you are passionate about the ethical implications of AI and possess the technical prowess to build scalable, fault-tolerant systems, this is your opportunity to lead the charge.

In this role, you won't just manage algorithms; you will define the roadmap for the future of automation, creativity, and problem-solving on a global scale.

Responsibilities

  • Design and implement cutting-edge Large Language Models (LLMs) optimized for enterprise deployment and real-time inference.
  • Architect robust MLOps pipelines to ensure model scalability, reproducibility, and continuous integration.
  • Collaborate with cross-functional product teams to integrate AI capabilities into core business ecosystems.
  • Establish AI governance frameworks to ensure ethical data usage and compliance with emerging global regulations.
  • Drive research into emerging technologies, including Multimodal AI and Autonomous Agents.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in machine learning engineering, specifically with Deep Learning frameworks (PyTorch, TensorFlow).
  • Proven track record of deploying AI models to production at scale.
  • Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure).
  • Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and Vector Databases.

Required Skills

Python Machine Learning Cloud Architecture LLMs Generative AI TensorFlow PyTorch AWS MLOps

Ready to Take This Challenge?

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