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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological horizon for 2026. At Nebula Future Systems, we are not just building software; we are architecting the future of intelligence. You will be at the forefront of next-generation AI integration, ensuring our platforms are scalable, secure, and ready for the challenges of tomorrow.

In this role, you will bridge the gap between theoretical AI advancements and practical, high-impact engineering solutions. 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

  • Define and execute the technical roadmap for AI and Machine Learning initiatives leading up to 2026.
  • Design scalable, high-performance architectures for complex data pipelines and neural networks.
  • Lead a team of senior engineers and data scientists in the research and development of proprietary algorithms.
  • Collaborate with C-level executives to align technology strategy with long-term business goals.
  • Ensure system reliability, security, and compliance with industry standards.
  • Drive innovation by evaluating emerging technologies and integrating them into our core stack.

Qualifications

  • 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.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading cross-functional teams and managing technical projects.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AWS TensorFlow PyTorch Kubernetes System Design Leadership

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