AI Solutions Architect

EPAM Systems; Canada; On-site; CAD 120,000 - 180,000; Full time

Job summary

EPAM Systems Inc in Canada is seeking an experienced AI Architecture Leader to drive end-to-end AI-powered retail store technology initiatives. You will define scalable designs, guide engineering teams, and rapidly prototype AI systems that connect business strategy with delivery.

You will run design sessions, translate business needs into robust architectures, and establish architectural governance across Agile SDLC.

Qualifications

• Proven AI fluency with hands-on architectural experience designing and operationalizing AI-driven solutions in real-world production environments.
• Strong software architecture knowledge, with the ability to define scalable, enterprise-grade solution designs that meet complex business and technical requirements.
• Experience creating architecture artifacts including solution designs, mockups, and requirement documentation to effectively guide and align cross-functional development teams.
• General knowledge of cloud platforms and cloud-native architecture patterns, with familiarity with Microsoft Azure considered a strong advantage.
• Deep understanding of business requirement processes and AI and Agile SDLC practices, with experience leading architectural governance across delivery teams.
• Strong consultative and communication skills, with the ability to engage credibly with senior business stakeholders and technical teams, with retail industry experience a valuable plus.

Responsibilities

• Architect end-to-end AI-driven solutions that improve store technology visibility and decision-making, defining system designs that are scalable, practical, and production-ready
• Lead solution design sessions with business and technology stakeholders, producing architecture diagrams, mockups, and detailed requirement documentation for development teams
• Translate complex business requirements into robust technical architectures, ensuring alignment between business intent, system design, and engineering execution
• Rapidly prototype AI solutions to validate architectural decisions and demonstrate feasibility, moving efficiently from design concept to working proof of concept
• Define and govern architectural standards and patterns applied across AI and Agile SDLC processes, guiding development teams through structured, best-practice delivery
• Act as a consultative technical authority for business stakeholders, providing architectural guidance and ensuring AI solutions deliver measurable value across retail store environments

Job description

Drive the architectural vision for AI-powered retail store technology solutions that transform business visibility and operational decision-making. You will define solution designs, guide engineering teams, and rapidly prototype AI systems that bridge business strategy and technical delivery to create measurable impact in real-world environments.

Responsibilities

• Architect end-to-end AI-driven solutions that improve store technology visibility and decision-making, defining system designs that are scalable, practical, and production-ready
• Lead solution design sessions with business and technology stakeholders, producing architecture diagrams, mockups, and detailed requirement documentation for development teams
• Translate complex business requirements into robust technical architectures, ensuring alignment between business intent, system design, and engineering execution
• Rapidly prototype AI solutions to validate architectural decisions and demonstrate feasibility, moving efficiently from design concept to working proof of concept
• Define and govern architectural standards and patterns applied across AI and Agile SDLC processes, guiding development teams through structured, best-practice delivery
• Act as a consultative technical authority for business stakeholders, providing architectural guidance and ensuring AI solutions deliver measurable value across retail store environments

Requirements

• Proven AI fluency with hands-on architectural experience designing and operationalizing AI-driven solutions in real-world production environments
• Strong software architecture knowledge, with the ability to define scalable, enterprise-grade solution designs that meet complex business and technical requirements
• Experience creating architecture artifacts including solution designs, mockups, and requirement documentation to effectively guide and align cross-functional development teams
• General knowledge of cloud platforms and cloud-native architecture patterns, with familiarity with Microsoft Azure considered a strong advantage
• Deep understanding of business requirement processes and AI and Agile SDLC practices, with experience leading architectural governance across delivery teams
• Strong consultative and communication skills, with the ability to engage credibly with senior business stakeholders and technical teams, with retail industry experience a valuable plus