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