Role: Full Stack Architect – AI Solutions
Location: Toronto, ON - Hybrid – 2 days onsite currently but could change
Duration: 2 Years
- Job Description SummaryThis Full Stack Solution Architect will be working on our Infrastructure and Engineering business (I&E) as part of the broader Solution Architecture Practice department. This is an independent contributor role that will act as the technical advisor to our Infrastructure and Engineering (I&E) organization, creating architectural target states, helping prioritize product roadmaps, and collaborating closely with platform technology teams to create solutions that meet business needs.
- The Architect will design end-to-end AI solution architectures, including AI/LLM gateways, agentic AI platforms, model access patterns, RAG and knowledge retrieval patterns, AI observability, security guardrails, and governed integration with enterprise APIs, data platforms, and cloud infrastructure. The role will lead project/product architecture blueprints and high- and low-level design specifications, ensuring solutions are scalable, reliable, secure, cost-aware, and compliant with enterprise architecture standards.
- Develop and maintain architecture frameworks and solution patterns that support responsible, resilient, and production-ready AI capabilities across hybrid and multi-cloud environments. This includes planning, evaluating, recommending, and designing AI architectural solutions that address identity and access management, model routing, token and cost governance, prompt and response controls, data protection, observability, and operational readiness.
EXPERIENCE & EDUCATION
Undergraduate degree or Technical Certificate (Graduate degree preferred)
- 15+ years relevant experience developing a variety of platforms
- Experience with Continuous Integration, Continuous Delivery, Pair programming and / or Test-Driven Development is an asset (i.e., ability to author Unit, Integration and Functional Tests)
- Demonstrated experience with leading technical tools integration in a complex environment
- Extensive hands-on architecture experience designing and delivering enterprise GenAI, LLM, and agentic AI solutions, including AI agents, AI/LLM gateways, RAG, vector search, prompt orchestration, MCP/tool integration, and model consumption patterns.
- Deep understanding of AI platform architecture across cloud and hybrid environments, including Azure OpenAI, Azure AI Foundry, Google Vertex AI/Gemini, model routing, model lifecycle management, AI observability, evaluation, responsible AI guardrails, and vendor/platform trade-offs.
- Intimate knowledge of AI services and capabilities, with specific experience designing for identity and access control, data protection, prompt/response safety, token and cost governance, semantic caching, fallback and resiliency, logging, tracing, auditability, and production supportability.
- Relevant AI, cloud, architecture, security, or data certifications are preferred, including certifications or demonstrated experience in AI architecture, cloud architecture, responsible AI, MLOps, Kubernetes, API management, or enterprise architecture frameworks.
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. The pay rate for this position is C$90.00/hr.
