ML/AIWork

Applications Architect

SOFTLINE TECHNOLOGY · Mississauga, CA

Job description

Description

Skill Set Requirements:

  • Leadership experience in the development and implementation of application architectures at the specified experience level.

  • Facilitation skills to engage multiple stakeholders involving I&IT solutions, security, privacy, and accessibility considerations

  • Solid experience and knowledge of Information Architecture, Data Modelling, BI Analytics

  • Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools

  • Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities:

o Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.

o Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.

o Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.

o Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.

  • Designed and implemented scalable data pipelines leveraging hands-on expertise in Databricks.

  • Solid experience and knowledge of cloud native technology and architecture to support applications with high sensitive data such as Azure App Services and RESTful API

  • Extensive experience with microservice architecture using containers – specifically with Tanzu (formerly Pivotal Cloud Foundry)

  • Extensive experience with at least three different platforms (e.g. Midtier, Mobile), operating systems (e.g. Solaris, Windows), environments, database technologies (e.g. MS SQL), programming languages (e.g. Java, C#, JavaScript), and communications protocols (ftp, http, smtp, ntp, tcp/ip, udp, icmp)

  • Knowledge of and experience with MLITSD application patterns and infrastructure

  • Experience in structured methodologies for the design, development and implementation of applications

  • Extensive experience in systems analysis and design in large systems environments

  • Awareness of emerging technologies, trends and direction

  • Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skill

  • Experience in OPS Governance processes, Target State Architecture (TSA) and different architecture domains deliverables

Experience Requirements

Information Architecture – 40%

  • 5+ years of experience in the development and implementation of applications and databases

  • Demonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I&IT project teams.

  • Engineered scalable data pipelines utilizing hands-on Databricks expertise.

  • Demonstrated experience in delivering architectural artefacts as required by the project to successfully pass through the project review governance points.

  • Demonstrates previous leadership in complex application architecture reviews and assessments, development and/or support projects for enterprise initiatives.

  • Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools

  • Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities:

    • Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.
    • Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.
    • Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.
    • Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.

Technical Skills – 25%

  • Experience in Modular and composable application architecture
  • Experience in Omni-channel delivery of government services
  • Solid experience in cloud design and solution including infrastructure design with cloud subscription.
  • Solid experience in cloud native architecture including microservice architecture, RESTful API, API management.
  • Experience in Data ingestion informed by consumption requirements
  • Experience in Implementation and adoption of data mesh for storage
  • Experience in systems analysis and design in a large, integrated systems environments
  • Experience in the use of architecture design tools and cloud management tools such as Power Designer, DevOps, and Collaboration tools.

Public Sector Experience – 20%

  • Experience with Public Sector enterprise architecture governance, committees and processes
  • Experience with Target State Architecture (TSA)
  • Experience with Public Sector GO-ITS standards.
  • Experience with Standards architecture deliverables and artefacts

Soft Skills – 15%

  • Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  • Excellent facilitation skills and process mapping skills
  • Excellent presentation skills
  • Excellent documentation skills

Supplier Comments

Closing Date – 2026-07-13, 4:30 p.m.

Maximum Number of Submissions – 1 ( one)

Assignment Type – 5 days Onsite

MUST HAVES:

  • 5+ years of experience in the development and implementation of applications and databases
  • Engineered scalable data pipelines utilizing hands-on Databricks expertise.
  • Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities

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