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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are at the threshold of a transformative era. As we look toward 2026, the convergence of Generative AI, Quantum Computing, and Ethical Tech is reshaping the global landscape. Nexus Future Labs is seeking a visionary Lead AI Architect to define our strategic roadmap and build the infrastructure that powers the next generation of intelligent solutions.

In this role, you will not just write code; you will architect the future. You will lead a world-class team in developing autonomous systems, optimizing large-scale neural networks, and ensuring our technologies remain at the forefront of innovation.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 tech landscape.
  • Competitive equity and salary packages.
  • Unlimited PTO and a fully remote-first culture.

Responsibilities

  • Strategic Vision: Define and execute the technical roadmap for AI initiatives specifically targeting the 2026 market trends and capabilities.
  • System Architecture: Design scalable, fault-tolerant, and secure ML pipelines and cloud architectures using AWS/Azure.
  • Team Leadership: Mentor a diverse team of ML Engineers and Data Scientists, fostering a culture of innovation and continuous learning.
  • Research & Development: Stay ahead of the curve in Generative AI, LLMs, and predictive analytics to drive product differentiation.
  • Stakeholder Collaboration: Translate complex technical concepts into business strategies for executive leadership and product managers.

Qualifications

  • Experience: 8+ years of experience in software engineering, with 5+ years specifically in Machine Learning and AI architecture.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (GCP, AWS, Azure).
  • Leadership: Proven track record of leading engineering teams and managing cross-functional projects.
  • Strategic Mindset: Ability to anticipate industry shifts and align technical roadmaps with long-term business goals.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture System Design Leadership Generative AI

Ready to Take This Challenge?

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