AI Solution Architect at TekisHub Consulting Services
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

125.0

Posted On

23 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Solution Architecture, Management Skills, Containerization, Computer Science, Python

Industry

Information Technology/IT

Description

REQUIRED QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 8+ years of experience in solution architecture, with at least 3 years in Azure cloud.
  • Proven expertise in Azure AI services, including Azure OpenAI, Form Recognizer, and Azure ML.
  • Hands-on experience with Generative AI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs).
  • Strong understanding of OCR technologies and document processing workflows.
  • Experience integrating AI solutions with Oracle DB and other enterprise data platforms.
  • Proficiency in Python, SQL, and RESTful API design.
  • Excellent communication and stakeholder management skills.

PREFERRED SKILLS:

  • Experience with RAG (Retrieval-Augmented Generation) architectures.
  • Familiarity with containerization (Docker, AKS) and CI/CD pipelines.
  • Knowledge of data governance frameworks and MLOps best practices.
  • Certifications in Azure AI or Solution Architecture are a plus.
    Job Type: Fixed term contract
    Pay: $125.00-$130.00 per hour
    Work Location: In perso

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Architect and deliver scalable AI solutions using Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
  • Lead the design and deployment of Generative AI models for document summarization, classification, and intelligent search.
  • Implement OCR pipelines using Azure Form Recognizer, Computer Vision, or third-party tools to extract structured data from scanned documents and images.
  • Integrate AI workflows with Oracle Database systems for secure and efficient data storage, retrieval, and analytics.
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define solution requirements and success metrics.
  • Ensure compliance with enterprise security, governance, and data privacy standards.
  • Provide technical leadership and mentorship to junior architects and developers.
Loading...