Senior AI Solution Architect

Focus Cloud Group

Calgary

Hybrid

CAD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Access to cutting-edge AI tools
Flexible working options

Job summary

A respected organization is seeking a Senior AI Solution Architect to lead the design and delivery of AI and GenAI-powered solutions. This role requires strong hands-on experience with Azure Services, Generative AI platforms, and excellent communication skills. The ideal candidate will have over 7 years of experience in solution architecture and will work in a hybrid model. Join a well-funded AI division and be part of transformative projects in a production environment.

Qualifications

  • 7+ years of experience in solution architecture.
  • Strong hands-on experience with Azure Services and GenAI platforms.
  • Deep knowledge of LLMs like GPT-4/5.
  • Familiarity with orchestration frameworks like LangChain, Semantic Kernel
  • Experience in event-driven, microservices-based architectures
  • Strong programming background (Python) with ability to code when required
  • Experience in software lifecycle tools: Azure DevOps, GitHub, JIRA
  • Knowledge of modern data architectures, including RDBMS and NoSQL (e.g., MS SQL, MongoDB)
  • Experience working with UX principles (personas, user stories, prototyping)
  • Azure or Microsoft certifications are advantageous
  • Excellent communication skills and ability to lead technical conversations with stakeholders

Responsibilities

  • Lead the design and delivery of AI-powered solutions.
  • Evaluate and implement modern LLM models.
  • Collaborate with stakeholders to identify business challenges.
  • Integrate Retrieval-Augmented Generation (RAG) and Vector Databases into scalable solutions
  • Collaborate with stakeholders to identify business challenges and craft appropriate AI-based solutions
  • Participate in estimating, planning, and executing solution delivery while overseeing technical implementation
  • Provide technical leadership to cross-functional teams, coaching developers, and ensuring engineering best practices
  • Work within Agile environments, leveraging DevOps, CI/CD, and containerized environments (Docker/Kubernetes)

Skills

Solution architecture
Azure Services
Generative AI platforms
Programming (Python)
Technical leadership
Agile methodologies
DevOps practices
Microservices architecture
Communication skills

Education

Bachelor's degree in a relevant field

Tools

Azure DevOps
GitHub
JIRA
Docker
Kubernetes
Docker
Kubernetes

Job description

Our client is seeking a Senior AI Solution Architect with a strong focus on Azure and Generative AI (GenAI) to join their expanding AI transformation program. This is an opportunity to join a high-performing, well-funded, and forward-thinking team driving enterprise-level AI initiatives across multiple business areas.

You will be at the forefront of designing and delivering production-grade GenAI solutions using modern AI architectures, frameworks, and tools. This is a hands-on role requiring deep technical expertise, leadership, and stakeholder engagement to shape and implement innovative AI strategies and applications.

Key Responsibilities
  • Lead the design, architecture, and delivery of end-to-end AI and GenAI-powered solutions
  • Evaluate, recommend, and implement modern LLM models and orchestration frameworks
  • Architect cloud-native solutions using Azure, leveraging Azure AI Services and Azure Machine Learning
  • Integrate Retrieval-Augmented Generation (RAG) and Vector Databases (e.g., Azure AI Search, Qdrant) into scalable solutions
  • Collaborate with stakeholders to identify business challenges and craft appropriate AI-based solutions
  • Participate in estimating, planning, and executing solution delivery while overseeing technical implementation
  • Provide technical leadership to cross-functional teams, coaching developers, and ensuring engineering best practices
  • Work within Agile environments, leveraging DevOps, CI/CD, and containerized environments (Docker/Kubernetes)
Ideal Candidate Will Have
  • 7+ years of experience in solution architecture (10+ years overall in software/AI engineering roles)
  • Strong hands-on experience with Azure Services and GenAI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI)
  • Deep knowledge of LLMs (e.g., GPT-4/5, ChatGPT, Claude, Gemini, Llama)
  • Familiarity with orchestration frameworks like LangChain, Semantic Kernel
  • Experience in event-driven, microservices-based architectures
  • Strong programming background (e.g., Python) with ability to code when required
  • Experience in software lifecycle tools: Azure DevOps, GitHub, JIRA
  • Knowledge of modern data architectures, including RDBMS and NoSQL (e.g., MS SQL, MongoDB)
  • Experience working with UX principles (personas, user stories, prototyping)
  • Azure or Microsoft certifications are advantageous
  • Excellent communication skills and ability to lead technical conversations with stakeholders
What’s in it for you?
  • Join a well-funded AI division within a respected organization
  • Early involvement in projects – shape solutions from inception, not just delivery
  • Access to cutting-edge AI tools and frameworks in a production environment
  • Competitive compensation package and hybrid/flexible working options
  • Be part of an organization committed to digital and AI transformation at scale
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