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Senior AI Architect 2026

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect 2026 to lead our next generation of intelligent systems. Nebula Future Systems is at the forefront of building the infrastructure that will define the future of human-computer interaction. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and quantum-ready neural networks, we want to hear from you.

In this role, you will not just maintain existing systems; you will architect the foundation for the next decade of technological advancement. You will work directly with our CTO and lead a team of elite engineers to solve complex, high-stakes problems.

Why Join Us?

  • Work on cutting-edge AI that impacts billions.
  • Competitive equity and salary package.
  • Flexible remote-first culture.
  • Top-tier medical and wellness benefits.

Responsibilities

  • Design and implement scalable, high-performance AI architectures using Python, PyTorch, and TensorFlow.
  • Lead the end-to-end development lifecycle for Generative AI products, from research to production deployment.
  • Optimize existing ML models for speed, accuracy, and resource efficiency.
  • Mentor junior engineers and define technical best practices for the AI team.
  • Collaborate with product managers to translate complex business requirements into technical AI solutions.
  • Ensure data integrity and security across all AI infrastructure.
  • Stay abreast of the latest advancements in the field and integrate relevant technologies into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep proficiency in Python, C++, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying successful AI models at scale.
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker Machine Learning NLP Generative AI Cloud Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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