TekStaff's Client has a current vacancy for " Full Stack – AI Solutions ”
TekStaff is an IT Placement agency and interested in positioning you with our client.
This is a 24 months contract located in Toronto, Ont /Hybrid Hybrid – 2 days onsite currently but could change
If you are interested in this posting please call me or send me your updated resume formatted in word. Please fill out the representation agreement and the skills matrix chart.
If you are not interested but know of someone who meets this criteria please feel free to forward them my contact information.
Please note - This is a 7.5 hour work day.
*All successful candidates will be subject to a mandatory credit AND criminal check as per the client.
If you require any type of accommodations (for example, accessible interview site, alternate formats of materials, Assistive Technology, ASL Interpreter, etc.) during the recruitment and selection process, please let one of our Recruiters know.
*Please note that all contractors are subject to a possible Holiday Leave program schedule, set by the client.
** This information is needed to create a unique Security ID for you in the client's internal system.
SUMMARY OF THE ROLE:
This 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.
MUST-HAVE Hard Skills:
- 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.
Soft Skills
- Strong communication skills- ability to communicate with different levels of stakeholders (including executives).
NICE-TO-HAVE
1.) Exp working in a regulatory environment- Could be banking or another similar environment
Role: Full Stack Architect – AI Solutions
Job Description Summary
This 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.
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
