Full Stack Solution Architect – GenAI & Cloud
Infotek Consulting Inc.
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. #J-18808-Ljbffr
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. #J-18808-Ljbffr
Reference: WJ-3875_13059782