We are seeking a highly accomplished Senior IT Artificial Intelligence (AI) Architect/Designer to pioneer the conceptual, logical, and physical architecture driving enterprise-scale AI strategies and contact centre modernization initiatives. In this role, you will lead customer experience transformations by architecting cutting-edge Conversation
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al AI solutions, Intelligent Virtual Assistants (IVAs), and automated voicebots/chatbots. Operating at the intersection of Generative AI engineering and omnichannel telecom frameworks, you will design secure, knowledge-grounded systems, implement rigorous AI safety guardrails, and seamlessly integrate cloud-native cognitive services with market-leading contact centre platforms.
Location: Toronto, ON (Hybrid)
Duration: 9-month contract
Advantages
Pioneering AI Domain Ownership: Direct the overarching architecture for high-profile citizen service portals and AI-driven virtual assistant rollouts.
Elite Multi-Cloud Ecosystem Exposure: Command an advanced technical sandbox integrating premier cognitive suites (Azure OpenAI, Amazon Bedrock, Amazon Lex, Google Vertex AI).
Omnichannel Modernization Catalyst: Drive high-impact legacy migrations, converting rigid IVR frameworks into fluid, empathetic, and autonomous customer experiences.
Visible Public Transformation Leadership: Anchor strategic technology paths within a highly governed, large-scale public sector enterprise environment.
Responsibilities
Enterprise AI Blueprinting & Strategy: Author end-to-end enterprise AI strategies, technical design blueprints, reference architectures, and deployment roadmaps aligned with public sector privacy, accessibility, and security mandates.
Generative & Agentic AI Engineering: Design and implement solutions utilizing Generative AI, Large Language Models (LLMs), and autonomous Agentic AI frameworks.
Knowledge-Grounded Retrieval (RAG): Architect advanced Retrieval-Augmented Generation (RAG) systems, designing vector database schemas, semantic search patterns, and secure enterprise knowledge repository connectors.
Conversational Journey & Dialog Architecture: Map complex customer journeys, intent models, multi-turn dialog flows, entity structures, and conversational taxonomies to modernize legacy Interactive Voice Response (IVR) platforms.
Prompt Engineering & Guardrail Governance: Establish prompt engineering standards and orchestration logic; design robust AI guardrails (safety controls, content moderation, response validation, grounding techniques, and hallucination mitigation).
Contact Centre Platform Integration: Architect seamless cloud integrations connecting AI agents with enterprise contact centre technology engines such as Amazon Connect, Genesys Cloud, NICE CXone, or Cisco Contact Center.
Human-in-the-Loop & Routing Design: Formulate intelligent call containment, sentiment-driven routing rules, automated escalation paths, and graceful human-in-the-loop handoff patterns for AI-assisted service delivery.
Data Pipelines & Cognitive Analytics: Integrate API-based microservices and event-driven architectures featuring Speech-to-Text (STT), Text-to-Speech (TTS), real-time speech analytics, and behavioral sentiment analysis tools.
Responsible AI Governance: Operationalize AI governance frameworks, model lifecycle management controls, and transparency auditing to enforce responsible AI principles (fairness, explainability, and data privacy).
Executive Advisory & Workshops: Facilitate technical alignment sessions, structure pilots/proof-of-concepts, and deliver executive-ready briefings translating intricate AI logic into actionable business options.
Qualifications
Enterprise Architecture Seniority: 10+ years of progressive professional experience in enterprise architecture, full-lifecycle solution design, and complex software delivery.
Enterprise AI/ML Specialization: 4+ years of dedicated professional experience architecting and implementing enterprise Artificial Intelligence and Machine Learning solutions (Generative AI, RAG, and LLM orchestration).
Conversational AI Domain Depth: 4+ years of hands-on experience designing Conversational AI systems, intelligent virtual assistants, voicebots, chatbots, or conversational IVR platforms.
Contact Centre Technology Integration: Proven experience integrating conversational interfaces natively into cloud contact centre software platforms (specifically Amazon Connect, Genesys Cloud, NICE CXone, or Cisco).
Prompt & Dialog Architecture Toolkit: Expert ability to map customer journeys, draft system instructions, engineer prompt frameworks, and establish content moderation safety guardrails.
Cloud-Native & API Prowess: Strong technical background in cloud-native microservices, event-driven architectures, Python/JavaScript/Java programming, and container orchestration (Docker/Kubernetes).
Public Sector Governance Awareness (Highly Valued): Experience delivering architectural artifacts that comply with formalized public sector frameworks, GO-ITS standards, privacy guidelines, and digital accessibility compliance (AODA/WCAG rules).
Soft Skills: Exceptional critical thinking, relationship management, and consensus-building mechanics, with a proven track record of steering cross-functional technical squads and presenting complex AI paradigms to non-technical headers.
Summary
If you're interested in the "Senior IT Artificial Intelligence (AI) Architect/Designer" role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking a highly accomplished Senior IT Artificial Intelligence (AI) Architect/Designer to pioneer the conceptual, logical, and physical architecture driving enterprise-scale AI strategies and contact centre modernization initiatives. In this role, you will lead customer experience transformations by architecting cutting-edge Conversational AI solutions, Intelligent Virtual Assistants (IVAs), and automated voicebots/chatbots. Operating at the intersection of Generative AI engineering and omnichannel telecom frameworks, you will design secure, knowledge-grounded systems, implement rigorous AI safety guardrails, and seamlessly integrate cloud-native cognitive services with market-leading contact centre platforms.
Location: Toronto, ON (Hybrid)
Duration: 9-month contract
Advantages
Pioneering AI Domain Ownership: Direct the overarching architecture for high-profile citizen service portals and AI-driven virtual assistant rollouts.
Elite Multi-Cloud Ecosystem Exposure: Command an advanced technical sandbox integrating premier cognitive suites (Azure OpenAI, Amazon Bedrock, Amazon Lex, Google Vertex AI).
...
Omnichannel Modernization Catalyst: Drive high-impact legacy migrations, converting rigid IVR frameworks into fluid, empathetic, and autonomous customer experiences.
Visible Public Transformation Leadership: Anchor strategic technology paths within a highly governed, large-scale public sector enterprise environment.
Responsibilities
Enterprise AI Blueprinting & Strategy: Author end-to-end enterprise AI strategies, technical design blueprints, reference architectures, and deployment roadmaps aligned with public sector privacy, accessibility, and security mandates.
Generative & Agentic AI Engineering: Design and implement solutions utilizing Generative AI, Large Language Models (LLMs), and autonomous Agentic AI frameworks.
Knowledge-Grounded Retrieval (RAG): Architect advanced Retrieval-Augmented Generation (RAG) systems, designing vector database schemas, semantic search patterns, and secure enterprise knowledge repository connectors.
Conversational Journey & Dialog Architecture: Map complex customer journeys, intent models, multi-turn dialog flows, entity structures, and conversational taxonomies to modernize legacy Interactive Voice Response (IVR) platforms.
Prompt Engineering & Guardrail Governance: Establish prompt engineering standards and orchestration logic; design robust AI guardrails (safety controls, content moderation, response validation, grounding techniques, and hallucination mitigation).
Contact Centre Platform Integration: Architect seamless cloud integrations connecting AI agents with enterprise contact centre technology engines such as Amazon Connect, Genesys Cloud, NICE CXone, or Cisco Contact Center.
Human-in-the-Loop & Routing Design: Formulate intelligent call containment, sentiment-driven routing rules, automated escalation paths, and graceful human-in-the-loop handoff patterns for AI-assisted service delivery.
Data Pipelines & Cognitive Analytics: Integrate API-based microservices and event-driven architectures featuring Speech-to-Text (STT), Text-to-Speech (TTS), real-time speech analytics, and behavioral sentiment analysis tools.
Responsible AI Governance: Operationalize AI governance frameworks, model lifecycle management controls, and transparency auditing to enforce responsible AI principles (fairness, explainability, and data privacy).
Executive Advisory & Workshops: Facilitate technical alignment sessions, structure pilots/proof-of-concepts, and deliver executive-ready briefings translating intricate AI logic into actionable business options.
Qualifications
Enterprise Architecture Seniority: 10+ years of progressive professional experience in enterprise architecture, full-lifecycle solution design, and complex software delivery.
Enterprise AI/ML Specialization: 4+ years of dedicated professional experience architecting and implementing enterprise Artificial Intelligence and Machine Learning solutions (Generative AI, RAG, and LLM orchestration).
Conversational AI Domain Depth: 4+ years of hands-on experience designing Conversational AI systems, intelligent virtual assistants, voicebots, chatbots, or conversational IVR platforms.
Contact Centre Technology Integration: Proven experience integrating conversational interfaces natively into cloud contact centre software platforms (specifically Amazon Connect, Genesys Cloud, NICE CXone, or Cisco).
Prompt & Dialog Architecture Toolkit: Expert ability to map customer journeys, draft system instructions, engineer prompt frameworks, and establish content moderation safety guardrails.
Cloud-Native & API Prowess: Strong technical background in cloud-native microservices, event-driven architectures, Python/JavaScript/Java programming, and container orchestration (Docker/Kubernetes).
Public Sector Governance Awareness (Highly Valued): Experience delivering architectural artifacts that comply with formalized public sector frameworks, GO-ITS standards, privacy guidelines, and digital accessibility compliance (AODA/WCAG rules).
Soft Skills: Exceptional critical thinking, relationship management, and consensus-building mechanics, with a proven track record of steering cross-functional technical squads and presenting complex AI paradigms to non-technical headers.
Summary
If you're interested in the "Senior IT Artificial Intelligence (AI) Architect/Designer" role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
