Enterprise AI & Data Analytics Architect (Hybrid)

SPECTRAFORCE; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

Spectraforce is seeking an AI & Data Analytics IT Specialist to shape and deliver advanced analytics and AI-driven solutions. You will orchestrate end-to-end design, governance, and delivery across enterprise programs, working with cross-functional teams to transform data into actionable business insights.

The role requires 7+ years in AI/data architecture within large organizations, with hands-on experience in AI/ML, model lifecycle management, and modern data platforms such as Azure Databricks

Qualifications

• Bachelor’s degree in a relevant field.
• 7+ years progressive AI/data architecture experience in large organizations.
• Proven track record delivering enterprise-scale AI and analytics solutions.
• Experience with AI/ML, LLMs, model lifecycle management, and responsible AI.

Responsibilities

• Lead end-to-end design and technical delivery of complex AI/BI architecture initiatives aligned with enterprise strategy and roadmaps.
• Provide technical leadership across programs ensuring robust design principles, effective tools, risk management, and delivery excellence.
• Approve and govern solution architecture for AI/Data products to ensure alignment with standards and best practices.
• Translate business requirements into scalable AI/analytics solutions, selecting appropriate technologies and approaches.
• Design and validate secure, reliable analytics architectures that meet business needs and service expectations.
• Develop AI & analytics data models and ensure effective data pipelines for transformation, quality, and loading.

Education

Bachelor’s degree in a relevant field

Tools

Azure Data Factory

Databricks

ETL/ELT

Big data

Cloud analytics

Power BI

CI/CD

JIRA

Azure DevOps

Confluence

Job description

Spectraforce is seeking an AI & Data Analytics IT Specialist to shape and deliver advanced analytics and AI-driven solutions. You will orchestrate end-to-end design, governance, and delivery across enterprise programs, working with cross-functional teams to transform data into actionable business insights.

The role requires 7+ years in AI/data architecture within large organizations, with hands-on experience in AI/ML, model lifecycle management, and modern data platforms such as Azure Databricks