Full Stack Solution Architect – GenAI & Cloud
Location: Toronto, ON – Hybrid, currently 2 days onsite
Duration: 24 months
Positions: 2
Start: ASAP
The Role
We are seeking a senior Full Stack Solution Architect to design and deliver enterprise-scale infrastructure, cloud and AI solutions. This role will act as a technical advisor to infrastructure and engineering teams, defining architectural target states, solution patterns and roadmaps for complex initiatives.
A major focus will be designing production-ready GenAI and agentic AI architectures across hybrid and multi-cloud environments.
Key Responsibilities
- Design end-to-end enterprise GenAI, LLM and agentic AI architectures.
- Develop architecture for AI/LLM gateways, AI agents, RAG, vector search, knowledge retrieval and prompt orchestration.
- Design model access and consumption patterns, including MCP/tool integrations.
- Create high- and low-level solution designs and architecture blueprints.
- Architect solutions across Azure OpenAI, Azure AI Foundry, Google Vertex AI/Gemini and hybrid cloud environments.
- Design AI observability, evaluation, security guardrails and responsible AI controls.
- Establish patterns for identity/access management, data protection, model routing, semantic caching, resiliency and production support.
- Integrate AI platforms with enterprise APIs, data platforms and cloud infrastructure.
- Partner with engineering, platform and executive stakeholders to translate business needs into scalable technical solutions.
Must-Have Skills
- 10+ years of technology experience with extensive hands-on solution architecture experience.
- Demonstrated experience leading complex enterprise technology integrations.
- Extensive architecture experience delivering enterprise GenAI, LLM and agentic AI solutions.
- Hands-on architecture experience with AI agents, AI/LLM gateways, RAG, vector search, prompt orchestration and model consumption patterns.
- Strong understanding of MCP/tool integration.
- Deep AI/cloud platform architecture experience, including Azure OpenAI, Azure AI Foundry and/or Google Vertex AI/Gemini.
- Experience with AI observability, evaluation, responsible AI guardrails and model lifecycle management.
- Strong knowledge of IAM, data protection, prompt/response security, token and cost governance, logging, tracing and auditability.
- Experience designing scalable, resilient and production-ready solutions across cloud and hybrid environments.
- Undergraduate degree required.
- Strong communication skills with the ability to engage technical teams and senior/executive stakeholders.
Nice to Have
- Experience within banking, financial services or another regulated environment.
- CI/CD, pair programming and/or Test-Driven Development experience.
- AI, cloud, architecture, security, data, MLOps, Kubernetes, API management or enterprise architecture certifications.
- Graduate degree.
Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.
