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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Architecting the Future of 2026

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead our next-generation technology initiative targeting the year 2026.

In this pivotal role, you will define the architectural blueprints for autonomous systems and advanced generative intelligence. You won't just be maintaining legacy code; you will be building the infrastructure that powers the future of the enterprise. If you thrive in ambiguity and possess a deep understanding of cutting-edge algorithms, Nebula Horizon Labs is the place for you.

Why Join Us?

  • Future-Ready Tech Stack: Work with the most advanced AI frameworks available.
  • Impactful Work: Your code will directly influence the trajectory of AI adoption by 2026.
  • Competitive Compensation: Top-tier salary and equity packages for top-tier talent.

Responsibilities

  • Design and implement scalable AI infrastructure capable of supporting enterprise-level workloads by 2026.
  • Lead a team of brilliant engineers in developing novel algorithms for predictive modeling and NLP.
  • Oversee the entire machine learning lifecycle, from data ingestion to model deployment and monitoring.
  • Collaborate with product leaders to translate complex business requirements into technical architecture.
  • Ensure system resilience, security, and ethical compliance in AI model training.
  • Stay ahead of industry trends to integrate emerging technologies into our core stack.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
  • Proven track record of leading high-performance engineering teams in a fast-paced environment.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.
  • Demonstrated experience in solving complex problems with innovative AI solutions.

Required Skills

Python C++ Machine Learning NLP TensorFlow PyTorch MLOps Cloud Architecture Distributed Systems Leadership

Ready to Take This Challenge?

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