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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technical infrastructure of the future. At Nexus Future Labs, we are not just keeping pace with technological advancement; we are setting the trajectory for 2026 and beyond. You will be responsible for architecting the next generation of scalable, ethical, and intelligent systems that will revolutionize industries worldwide.

Why This Role Matters:

You will have the unique opportunity to shape the core intelligence of our platforms. This is a high-impact position where your decisions will directly influence the scalability and reliability of our AI products.

Responsibilities

  • Design Future-Proof Architectures: Spearhead the design and implementation of robust neural network architectures, focusing on scalability and fault tolerance for next-gen AI applications.
  • Technical Strategy & Vision: Develop and communicate a long-term technical roadmap for AI development, ensuring alignment with the company's 2026 strategic goals.
  • Optimization & Efficiency: Drive research and implementation of advanced optimization techniques to reduce model latency and computational costs.
  • Ethical AI Governance: Establish frameworks for AI ethics, ensuring transparency, fairness, and accountability in all deployed models.
  • Leadership & Mentorship: Lead a diverse team of data scientists and engineers, providing technical guidance and fostering a culture of innovation.
  • System Integration: Oversee the integration of AI models into existing cloud infrastructure, ensuring seamless interoperability.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related engineering field.
  • Experience: 5+ years of experience in building and deploying large-scale machine learning systems.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Ray, Kubernetes).
  • Research Background: Proven track record of publishing in top-tier conferences (NeurIPS, ICML) or holding patents in AI/ML.
  • Leadership Skills: Strong ability to lead cross-functional teams and manage complex technical projects from conception to production.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Computing AI Ethics System Architecture Leadership

Ready to Take This Challenge?

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