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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Horizon Initiative

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. At Nebula Dynamics, we are not just building software; we are architecting the cognitive foundation of the future. In this pivotal role, you will define the architectural blueprints for next-generation artificial intelligence systems that will define the technological landscape of the year 2026 and beyond.

You will collaborate with world-class engineers, ethicists, and product strategists to push the boundaries of machine learning, ensuring our solutions are scalable, secure, and revolutionary.

Responsibilities

  • Define and execute the long-term technical vision for the 2026 AI roadmap.
  • Lead a high-performing team of machine learning engineers and data scientists.
  • Architect scalable, fault-tolerant distributed AI systems for enterprise deployment.
  • Establish best practices for ethical AI, fairness, and transparency.
  • Prototype novel algorithms and models to solve complex, unsolved problems.
  • Bridge the gap between theoretical research and practical, production-ready engineering.
  • Conduct technical due diligence on emerging AI technologies and frameworks.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of leading cross-functional teams through the full SDLC.
  • Strong understanding of Large Language Models (LLMs) and Generative AI architectures.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Distributed Systems Cloud Computing (AWS/Azure) Leadership AI Ethics

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