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Senior AI Architect (2026 Vision)

Vertex AI Labs
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Vertex AI Labs is redefining the technological horizon. We are currently assembling a world-class team to architect the infrastructure that will define the landscape of 2026. As a Senior AI Architect, you will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous system integration.

We are looking for a visionary engineer who doesn't just adapt to change but drives it. This role requires a deep understanding of scalable system design, ethical AI implementation, and the ability to translate complex data science concepts into robust, production-ready software.

Responsibilities

  • Design and implement scalable machine learning infrastructure capable of handling petabyte-scale data streams for 2026 demands.
  • Lead the research and development of next-generation Natural Language Processing (NLP) models and Generative AI tools.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product roadmaps.
  • Ensure the security, fairness, and transparency of AI systems through rigorous testing and ethical framework adherence.
  • Mentor junior engineers and foster a culture of innovation and continuous learning within the technical department.
  • Optimize model latency and inference costs for edge deployment and cloud environments.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of professional experience in software engineering, with a strong focus on Machine Learning and Deep Learning.
  • Proven expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of distributed systems, microservices architecture, and containerization (Docker, Kubernetes).
  • Strong track record of deploying production-level AI models with high availability and fault tolerance.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing AWS Docker Kubernetes Generative AI NLP System Design

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