Artificial Intelligence (AI) Architect
On-siteToronto, Ontario, Canada
Job Summary
Develop enterprise AI strategy and design scalable, secure conversational AI solutions for large-scale contact centre modernization. Lead the implementation of Generative AI, LLMs, and intelligent agents using RAG, vector databases, and semantic search. Establish governance frameworks, model lifecycle management, and AI guardrails while integrating solutions with CRM, identity, and workflow systems. Architect API-based microservices and event-driven integrations, then conduct workshops to align stakeholder requirements with technical roadmaps. Ensure all designs meet cybersecurity, privacy, and accessibility standards within a public sector environment.
Required Qualifications
- 10+ years of experience in enterprise architecture, solution design, and software delivery
- 4+ years of experience designing and implementing AI/ML solutions
- Expertise in Generative AI, LLMs, intelligent agents, and AI frameworks
- Strong experience with RAG, vector databases, semantic search, and knowledge repositories
- Experience in conversational AI design including chatbots, IVR, and virtual assistants
- Hands-on experience with prompt engineering, AI safety, and guardrail design
- Experience with AI-enabled contact centre solutions and platforms such as Amazon Connect, Genesys, NICE, or Cisco
- Integration experience with CRM, workflow, identity, and enterprise systems
- Strong knowledge of cloud platforms (AWS, Azure, or equivalent)
- Experience with AI tools such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI
- Proficiency in Python, JavaScript, Java, or similar
- Experience with DevOps, CI/CD, Docker, Kubernetes, and cloud-native architectures
- 7+ years delivering enterprise architecture, solution blueprints, and technical designs
- Strong experience translating business requirements into scalable technical solutions
- Proven ability to lead architecture design sessions and stakeholder workshops
- Experience conducting technology assessments and proof-of-concepts
- Strong knowledge of risk management, architecture governance, and modernization strategies
- Experience leading AI and customer experience transformation initiatives
- Experience modernizing IVR and digital self-service platforms
- Experience designing AI-powered citizen-facing service solutions
- Strong knowledge of speech analytics, customer journey analytics, and engagement optimization
- Strong leadership, analytical thinking, and problem-solving skills
- Excellent stakeholder management and communication abilities
- Ability to explain complex AI concepts to technical and non-technical audiences
- Strong organizational and planning capabilities
- Experience working within government or highly regulated environments
- Knowledge of public sector architecture standards, governance, and methodologies
- Experience supporting large-scale transformation programs
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