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Senior AI Architect (2026 Tech Vision)

Nebula Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to drive our next-generation technology strategy. As we prepare for the technological landscape of 2026, we need a leader who can bridge the gap between theoretical AI research and scalable, production-grade engineering. You will be responsible for architecting systems that are not only robust and secure but also ethically aligned and future-proof.

Key Highlights:

  • Impactful Work: Define the core infrastructure for our next generation of AI products.
  • Modern Environment: Work with state-of-the-art tools and a culture of continuous learning.
  • Competitive Package: Salary, equity, and comprehensive benefits.

Responsibilities

  • Architect and design scalable AI and machine learning infrastructure that supports our 2026 roadmap.
  • Lead technical strategy for the integration of Large Language Models (LLMs) and generative AI into our product suite.
  • Define and enforce best practices for code quality, system architecture, and data governance.
  • Mentor and guide a team of talented engineers and data scientists, fostering a culture of innovation.
  • Collaborate with product managers and stakeholders to translate business requirements into technical solutions.
  • Ensure system scalability, reliability, and security in a cloud-native environment.
  • Stay ahead of industry trends to advise the leadership team on emerging technologies.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven experience designing and deploying large-scale machine learning pipelines.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent leadership and communication skills, with the ability to influence technical decisions.
  • Experience with ethical AI practices and compliance standards.

Required Skills

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

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