Full Stack Solution Architect – GenAI & Cloud

Infotek Consulting Inc.; Toronto; Hybrid; CAD 180,000 - 240,000; Full time

Job summary

Infotek Consulting Inc. is seeking a senior Full Stack Solution Architect to design and deliver enterprise-scale GenAI and cloud solutions. You will act as a technical advisor to infrastructure and engineering teams, defining target architectures and roadmaps for complex initiatives.

The role focuses on production-ready GenAI and agentic AI architectures across hybrid and multi-cloud environments, partnering with executives to translate business needs into scalable technical solutions.

Qualifications

• 10+ years of technology experience with enterprise solution architecture.
• Experience leading complex enterprise integrations.
• Extensive GenAI/LLM/agentic AI solution delivery.
• Hands-on architecture with AI agents, gateways, RAG, vector search.
• Deep knowledge of MCP/tool integration.
• Experience with Azure OpenAI, Azure AI Foundry and Google Vertex AI/Gemini.
• Experience in AI observability, governance and guardrails.
• Strong IAM, data protection, security and cost governance knowledge.
• Proven ability to translate business needs for exec stakeholders.
• Experience delivering scalable, production-ready cloud solutions.

Responsibilities

• Design end-to-end GenAI, LLM and agentic AI architectures for enterprises.
• Develop architecture for AI gateways, agents, RAG and vector search.
• Define model access patterns and MCP/tool integrations.
• Create high- and low-level solution designs and blueprints.
• Architect across Azure OpenAI, Azure AI Foundry, Vertex AI and hybrid clouds.
• Incorporate AI observability, security guardrails and responsible AI controls.
• Establish IAM, data protection, token governance and auditability patterns.
• Ensure scalable, resilient production-ready solutions across cloud environments.
• Collaborate with engineering, platform and executives to translate needs into solutions.

Skills

10+ years exp

Enterprise integrations

GenAI/LLM architectures

AI agents & gateways

MCP/tool integration

Azure OpenAI / Vertex AI

AI observability & governance

IAM & data protection

Cloud & hybrid architectures

Engineering communication

Job description

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.
• 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.

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.