About the role
Title: AI Architect Remote Toronto-Ontario-CA Skills: Ai Architect, Co pilot Job description Key Responsibilities Architecture AI Strategy Define enterprise AI vision roadmap and architecture strategy Engage with CXO stakeholders to drive AI adoption and transformation Design scalable AI solutions across cloud onprem and hybrid environments Lead adoption of generative AI LLMs and enterprise AI platforms Agentic AI Copilot Solutions Architect and govern Copilot Studio agents workflows and integrations Design multiagent orchestration patterns task decomposition flows fallback handling Enable knowledgedriven AI using Azure AI Search vector databases and RAG patterns Implement prompt engineering and ground copilots with enterprise data sources AIML Engineering Data Platforms Deploy and finetune generative AI and pretrained models Apply best practices in ML data engineering and largescale processing PySpark Work with Azure AI services OpenAI Form Recognizer Cognitive Search Drive MLOps LLMOps foundations for model lifecycle management DevOps ALM Governance Define ALM strategy for AI and Copilot solutions DevTest Prod environments Implement CICD using GitHub and Azure DevOps pipelines Manage solutions environment variables and connection references Ensure scalable repeatable and auditable deployments Integration Enterprise Enablement Architect integrations with enterprise systems SAP Dynamics ServiceNow Develop APIs custom connectors and automation workflows Power Automate Deliver customer enablement workshops and upskilling sessions.
Observability Operations
- Implement monitoring using Azure Monitor and Application Insights.
- Track performance reliability and adoption metrics.
- Continuously optimize AI solutions and agent workflows.
- Preferred Qualifications Not Mandatory.
- Handson experience with Azure AI Search vector hybrid retrieval RAG.
- Experience designing multiagent ecosystems and orchestration frameworks.
- Exposure to cross cloud platforms AWS GCP.
- Familiarity with Agent Factory enterprise AI operational models.
- Experience with containerization Docker Kubernetes.
Required Technical Skills
- AI Copilot.
- Copilot Studio topics tools orchestration connectors.
- Azure OpenAI Cognitive Services Form Recognizer.
- Prompt Engineering and LLMbased solution design.
- AIML Data.
- Model deployment finetuning and customization.
- Python PySpark largescale data processing.
- Vector databases and AI knowledge systems.
- DevOps ALM.
- GitHub repos branching PR policies.
- GitHub Actions Azure DevOps pipelines.
- Power Platform ALM solutions environments.
- Integration Development.
- REST APIs custom connectors.
- Power Automate Logic Apps Azure Functions.
- Security Governance.
- Entra ID AAD authentication.
- DLP policies compliance governance frameworks.
- Responsible AI principles.
Preferred Experience
- 20 years IT experience with 5 years in Azure architecture.
- Experience in AI strategy CXO engagement and enterprise transformation.
- DevOps modernization and platform governance.
- Dataverse and Power Platform architecture.
- Observability Azure Monitor Application Insights.
Soft Skills
- Strong stakeholder management and CXO communication.
- Ability to lead architecture discussions and drive consensus.
- Excellent problem solving and analytical thinking.
- Experience delivering presentations and customer workshops.
- Strong collaboration across cross functional teams. Education Certifications Education: Minimum BCA MCA BE BTech or equivalent.
Not the right fit? Search for AI Architect jobs in Canada
About Enterprise Solutions Inc.
Enterprise Solutions, Inc. is a technology-intensive services company. We develop and deliver software and engineering solutions to our partners; we work relentlessly to keep our clients happy, and we measure our business success with the trust we earn from them.
Enterprise Solutions offers implementation services for VMS, MSP, ERP, cloud, analytics and digital transformation. We are a certified Minority Business Enterprise (MBE).
We have extensive experience in end-to-end software development using a wide array of technologies. From vendor management to smart automation, ESI will install, implement, and integrate your business infrastructure so that you can operate at full capacity.
Similar Jobs
About the role
Title: AI Architect Remote Toronto-Ontario-CA Skills: Ai Architect, Co pilot Job description Key Responsibilities Architecture AI Strategy Define enterprise AI vision roadmap and architecture strategy Engage with CXO stakeholders to drive AI adoption and transformation Design scalable AI solutions across cloud onprem and hybrid environments Lead adoption of generative AI LLMs and enterprise AI platforms Agentic AI Copilot Solutions Architect and govern Copilot Studio agents workflows and integrations Design multiagent orchestration patterns task decomposition flows fallback handling Enable knowledgedriven AI using Azure AI Search vector databases and RAG patterns Implement prompt engineering and ground copilots with enterprise data sources AIML Engineering Data Platforms Deploy and finetune generative AI and pretrained models Apply best practices in ML data engineering and largescale processing PySpark Work with Azure AI services OpenAI Form Recognizer Cognitive Search Drive MLOps LLMOps foundations for model lifecycle management DevOps ALM Governance Define ALM strategy for AI and Copilot solutions DevTest Prod environments Implement CICD using GitHub and Azure DevOps pipelines Manage solutions environment variables and connection references Ensure scalable repeatable and auditable deployments Integration Enterprise Enablement Architect integrations with enterprise systems SAP Dynamics ServiceNow Develop APIs custom connectors and automation workflows Power Automate Deliver customer enablement workshops and upskilling sessions.
Observability Operations
- Implement monitoring using Azure Monitor and Application Insights.
- Track performance reliability and adoption metrics.
- Continuously optimize AI solutions and agent workflows.
- Preferred Qualifications Not Mandatory.
- Handson experience with Azure AI Search vector hybrid retrieval RAG.
- Experience designing multiagent ecosystems and orchestration frameworks.
- Exposure to cross cloud platforms AWS GCP.
- Familiarity with Agent Factory enterprise AI operational models.
- Experience with containerization Docker Kubernetes.
Required Technical Skills
- AI Copilot.
- Copilot Studio topics tools orchestration connectors.
- Azure OpenAI Cognitive Services Form Recognizer.
- Prompt Engineering and LLMbased solution design.
- AIML Data.
- Model deployment finetuning and customization.
- Python PySpark largescale data processing.
- Vector databases and AI knowledge systems.
- DevOps ALM.
- GitHub repos branching PR policies.
- GitHub Actions Azure DevOps pipelines.
- Power Platform ALM solutions environments.
- Integration Development.
- REST APIs custom connectors.
- Power Automate Logic Apps Azure Functions.
- Security Governance.
- Entra ID AAD authentication.
- DLP policies compliance governance frameworks.
- Responsible AI principles.
Preferred Experience
- 20 years IT experience with 5 years in Azure architecture.
- Experience in AI strategy CXO engagement and enterprise transformation.
- DevOps modernization and platform governance.
- Dataverse and Power Platform architecture.
- Observability Azure Monitor Application Insights.
Soft Skills
- Strong stakeholder management and CXO communication.
- Ability to lead architecture discussions and drive consensus.
- Excellent problem solving and analytical thinking.
- Experience delivering presentations and customer workshops.
- Strong collaboration across cross functional teams. Education Certifications Education: Minimum BCA MCA BE BTech or equivalent.
Not the right fit? Search for AI Architect jobs in Canada
About Enterprise Solutions Inc.
Enterprise Solutions, Inc. is a technology-intensive services company. We develop and deliver software and engineering solutions to our partners; we work relentlessly to keep our clients happy, and we measure our business success with the trust we earn from them.
Enterprise Solutions offers implementation services for VMS, MSP, ERP, cloud, analytics and digital transformation. We are a certified Minority Business Enterprise (MBE).
We have extensive experience in end-to-end software development using a wide array of technologies. From vendor management to smart automation, ESI will install, implement, and integrate your business infrastructure so that you can operate at full capacity.