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AI Architect

  • Vancouver, BC, Canada

$100,000 to $110,000 CAD / year · Full-time

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Job details

Pay
$100,000 to $110,000 CAD / year
Job type
Full-time
Experience
Experience Level: 10 to 15+ years of total experience in technology, with at least 5+ years dedicated strictly to building and designing production-grade AI/ML applications.
Posting language
English
Posted

Original job description

JD for AI architect role.

Role Description:

  • This is a senior strategic and technical leadership role. Talent will convert business requirements into scalable and effective AI solutions. He will bridge the gap between complex business challenges and scalable, production-ready AI solutions.
  • Design end-to-end data workflows, choose appropriate model architectures, manage infrastructure costs, and govern the full ML lifecycle without getting bogged down in basic code implementation.
  • Involve in strategic planning, system design, algorithm development, and performance optimization to provide innovative AI solutions that satisfy company goals.

Key Responsibilities:

  • Architectural Design: Create blueprints for scalable AI applications, ensuring robust data pipelines and model deployment patterns.
  • Infrastructure & Platform Selection: Evaluate and select infrastructure frameworks, databases, and high-performance computing clusters.
  • ML Ops Governance: Own the deployment lifecycle, automated retraining pipelines, model observability, and validation.
  • Stakeholder Alignment: Collaborate closely with multiple stakeholders to translate business goals into technological maps.
  • Risk & Compliance: Enforce responsible AI practices, strict data privacy, and mitigation frameworks for bias or security vulnerabilities

Required Technical Skills:

  • Machine Learning and Deep Learning: Proficiency in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model development.
  • Data Science: Strong foundation in data analysis, statistics, and data visualization techniques.
  • Programming: Expertise in programming languages such as Python, R, Java, and proficiency in using AI libraries and tools.
  • Cloud Computing: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
  • Big Data Technologies: Familiarity with big data processing tools like Hadoop, Spark, and Kafka.

Experience Level: 10 to 15+ years of total experience in technology, with at least 5+ years dedicated strictly to building and designing production-grade AI/ML applications.

More about this job

Responsibilities

The AI Architect is responsible for designing scalable AI blueprints and end-to-end data workflows to solve complex business challenges. They oversee the full ML lifecycle, including infrastructure selection, MLOps governance, and stakeholder alignment.

Requirements

Candidates need 10-15+ years of technology experience, with at least 5 years focused on production-grade AI/ML applications. Proficiency in deep learning frameworks, cloud platforms, and big data technologies is required.

Skills

  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Data Analysis
  • Statistics
  • Data Visualization
  • Python
  • R
  • Java
  • AWS
  • Azure
  • Google Cloud
  • Hadoop
  • Spark
  • Kafka

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Engineering
  • Consulting

Keywords

  • AI Architect
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • MLOps
  • Data Pipelines
  • Cloud Computing
  • AWS
  • Azure
  • Google Cloud
  • Hadoop
  • Spark
  • Kafka
  • Python
  • R
  • Java
  • Data Science
  • System Design
  • Algorithm Development
  • Performance Optimization
  • Responsible AI
  • Data Privacy
  • Infrastructure Frameworks
  • High-Performance Computing

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