Architect

Job summary

The Architect will design end-to-end AI solution architectures, including AI/LLM gateways, agentic platforms, and governed integration with enterprise systems. They will lead project blueprints and ensure solutions are scalable, secure, and compliant with enterprise standards.

Job details

Job Title - Solutions Architect Location –Toronto , ON (Hybrid) 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,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 About Dexian: Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

What you’ll do

The Architect will design end-to-end AI solution architectures, including AI/LLM gateways, agentic platforms, and governed integration with enterprise systems. They will lead project blueprints and ensure solutions are scalable, secure, and compliant with enterprise standards.

Requirements

Candidates must have extensive hands-on experience designing enterprise GenAI, LLM, and agentic AI solutions across hybrid and multi-cloud environments. Strong communication skills and experience with technical tools integration in complex environments are essential.

Listed skills

• Kubernetes · Preferred
• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Solutions Architecture
• GenAI
• LLM
• Agentic AI
• RAG
• Vector Search
• Prompt Orchestration
• AI Observability
• Azure OpenAI
• Vertex AI
• Kubernetes
• API Management
• Identity And Access Management
• MLOps
• Cloud Infrastructure
• Continuous Integration

Job areas

• Technology
• Software
• Data & Analytics
• Finance & Accounting
• Consulting