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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (Project 2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on a mission to redefine the technological landscape by 2026. Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our most ambitious project yet: Project 2026. This role is not just about coding; it's about envisioning the future of artificial intelligence and building the infrastructure that will support it.

In this high-impact position, you will lead a world-class team of engineers and data scientists to develop scalable, ethical, and revolutionary AI systems. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech industry, we want to hear from you.

Responsibilities

  • Architect and lead the design of next-generation AI infrastructure for Project 2026.
  • Define technical strategies to ensure scalability, security, and performance of AI models.
  • Collaborate closely with cross-functional product teams to translate business goals into technical roadmaps.
  • Mentor junior engineers and senior staff to foster a culture of innovation and excellence.
  • Stay ahead of industry trends, including Generative AI, LLMs, and quantum computing integration.
  • Oversee the deployment of models in production environments, ensuring robust monitoring and optimization.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading large-scale machine learning projects from conception to deployment.
  • Strong understanding of ethical AI principles, data privacy, and regulatory compliance.
  • Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow AWS Cloud Architecture Leadership System Design Generative AI

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