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Senior AI Architect - Future Tech

Year 2026 Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to join Year 2026 Solutions. As we stand on the precipice of a new era in technology, your role will be pivotal in designing the intelligent systems that will define the next decade. You will not just build algorithms; you will architect the future.

In this role, you will lead the development of cutting-edge artificial intelligence solutions, ensuring scalability, security, and ethical integrity. You will collaborate with a team of world-class engineers and data scientists to push the boundaries of what is possible.

Responsibilities

  • Design and implement scalable AI and machine learning architectures for enterprise-level applications.
  • Lead the research and development of next-generation algorithms, including Natural Language Processing and Computer Vision.
  • Define technical roadmaps and best practices for the AI engineering team.
  • Ensure model accuracy, efficiency, and ethical compliance in all AI deployments.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
  • Oversee the full lifecycle of AI projects, from data ingestion to model deployment and monitoring.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Proven experience designing large-scale distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model versioning strategies.
  • Excellent leadership skills with a track record of mentoring high-performing engineering teams.

Required Skills

Python TensorFlow PyTorch AWS GCP Azure Machine Learning Deep Learning NLP MLOps Distributed Systems System Design

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