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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the technological landscape of tomorrow? Nebula Future Systems is seeking a visionary Senior AI Architect to lead our groundbreaking 2026 roadmap. As we stand on the precipice of the next industrial revolution, we need a thought leader who can transform theoretical AI concepts into scalable, production-ready infrastructure.

In this role, you will not just write code; you will architect the future. You will work closely with cross-functional teams to integrate cutting-edge machine learning models with robust cloud infrastructure, ensuring our platforms remain at the forefront of innovation.

Why join us?

  • Be part of a team dedicated to the future of intelligence.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with premium benefits.

Responsibilities

  • Lead the architectural design and implementation of large-scale AI and Machine Learning systems for the 2026 product roadmap.
  • Define technical strategy for integrating Generative AI and Predictive Analytics into core products.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Ensure system scalability, security, and high performance under heavy load.
  • Stay ahead of industry trends, evaluating new technologies to enhance our competitive edge.

Qualifications

  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong background in System Design, distributed systems, and cloud architecture (AWS, GCP, or Azure).
  • Experience with MLOps, data pipelines, and model deployment strategies.
  • Proven track record of leading technical teams and delivering complex projects on time.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.

Required Skills

Python TensorFlow PyTorch System Design Machine Learning Cloud Architecture AWS GCP MLOps Deep Learning

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