About the role
Job Title - AI Architect
Location : Toronto , ON Type - Contract
Experience : 10+ Years of IT Experience with 5+ years in AI/ML, GenAI, and Enterprise Architecture
Role Summary
We are seeking a highly experienced Senior AI Architect to lead the design, implementation, and governance of enterprise AI solutions. The ideal candidate will have deep expertise in AI/ML platforms, Generative AI, Large Language Models (LLMs), Agentic AI, cloud architecture, and data engineering. The individual will be responsible for defining AI architecture roadmaps, driving innovation, and delivering scalable, secure, and business-aligned AI solutions across the organization. This role aligns with responsibilities found in the organization's AI Solution Architect profile.
Key Responsibilities
AI Strategy & Architecture Define enterprise AI architecture and transformation roadmap. Design scalable AI/ML, GenAI, and Agentic AI solutions. Develop reference architectures, standards, and governance frameworks. Lead architecture reviews and technology selection.
Generative AI & Agentic AI
Design and implement solutions leveraging: LLMs (GPT, Claude, Gemini, Llama) RAG architectures Vector databases Multi-agent systems MCP and tool-integration frameworks Establish AI guardrails, prompt engineering standards, and Responsible AI practices.
Data & Platform Architecture
Define data ingestion, transformation, governance, and quality frameworks. Architect AI-ready data platforms on Azure, AWS, or GCP. Design real-time and batch processing solutions.
MLOps / LLMOps
Establish CI/CD pipelines for AI models. Drive model deployment, observability, monitoring, and lifecycle management. Enable AI platform scalability, reliability, and cost optimization.
Security, Risk & Compliance
Implement security-by-design principles. Ensure compliance with regulatory and enterprise governance requirements. Define AI risk management and model governance processes.
Stakeholder & Leadership Management
Work closely with business stakeholders to identify AI opportunities. Lead client workshops, solution discussions, and executive presentations. Support RFP/RFI responses and AI solutioning activities.
Mentor architects, AI engineers, and data scientists
“We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
Not the right fit? Search for AI Architect jobs in Toronto, Ontario, 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.
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About the role
Job Title - AI Architect
Location : Toronto , ON Type - Contract
Experience : 10+ Years of IT Experience with 5+ years in AI/ML, GenAI, and Enterprise Architecture
Role Summary
We are seeking a highly experienced Senior AI Architect to lead the design, implementation, and governance of enterprise AI solutions. The ideal candidate will have deep expertise in AI/ML platforms, Generative AI, Large Language Models (LLMs), Agentic AI, cloud architecture, and data engineering. The individual will be responsible for defining AI architecture roadmaps, driving innovation, and delivering scalable, secure, and business-aligned AI solutions across the organization. This role aligns with responsibilities found in the organization's AI Solution Architect profile.
Key Responsibilities
AI Strategy & Architecture Define enterprise AI architecture and transformation roadmap. Design scalable AI/ML, GenAI, and Agentic AI solutions. Develop reference architectures, standards, and governance frameworks. Lead architecture reviews and technology selection.
Generative AI & Agentic AI
Design and implement solutions leveraging: LLMs (GPT, Claude, Gemini, Llama) RAG architectures Vector databases Multi-agent systems MCP and tool-integration frameworks Establish AI guardrails, prompt engineering standards, and Responsible AI practices.
Data & Platform Architecture
Define data ingestion, transformation, governance, and quality frameworks. Architect AI-ready data platforms on Azure, AWS, or GCP. Design real-time and batch processing solutions.
MLOps / LLMOps
Establish CI/CD pipelines for AI models. Drive model deployment, observability, monitoring, and lifecycle management. Enable AI platform scalability, reliability, and cost optimization.
Security, Risk & Compliance
Implement security-by-design principles. Ensure compliance with regulatory and enterprise governance requirements. Define AI risk management and model governance processes.
Stakeholder & Leadership Management
Work closely with business stakeholders to identify AI opportunities. Lead client workshops, solution discussions, and executive presentations. Support RFP/RFI responses and AI solutioning activities.
Mentor architects, AI engineers, and data scientists
“We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
Not the right fit? Search for AI Architect jobs in Toronto, Ontario, 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.