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Lead AI Architect – Project 2026 | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Nexus Horizon is pioneering the next frontier of artificial intelligence. We are currently recruiting a visionary Lead AI Architect to spearhead our flagship Project 2026 initiative, defining the roadmap for cognitive evolution in the next decade. You will be responsible for architecting scalable, high-performance AI systems that set industry standards. If you are passionate about the future of technology and ready to lead a world-class team, we want to hear from you.

Responsibilities

  • Architect and implement scalable AI models and frameworks for enterprise-grade applications.
  • Lead the research and development of cutting-edge generative algorithms and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to translate high-level business requirements into robust technical solutions.
  • Establish best practices for MLOps, model governance, and ethical AI deployment.
  • Guide the strategic roadmap for AI integration, ensuring alignment with the 2026 vision.
  • Mentor and inspire a high-performing engineering team of data scientists and AI researchers.
  • Monitor industry trends to innovate and maintain a competitive edge in the AI landscape.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8+ years of experience in AI/ML engineering, architecture, and full-stack development.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/GCP/Azure).
  • Proven track record of deploying and scaling AI models in production environments.
  • Strong leadership skills with a history of mentoring engineering teams and managing complex projects.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Architecture AWS GCP NLP Generative AI Leadership

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