B

Bird Construction

Canadian construction and infrastructure builder

AI Solutions Analyst

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience designing, developing, and administering enterprise solutions on Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
  • At least 2 years of experience delivering AI-powered solutions using the Microsoft Copilot ecosystem, including Microsoft 365 Copilot and Copilot Studio.
  • Hands-on experience delivering AI solutions using Copilot Studio, AI Builder, Microsoft 365 Copilot, or similar Microsoft AI technologies in production environments.
  • Experience working with REST APIs, standard and custom connectors, and enterprise data sources such as SharePoint and SQL Server.
  • Ability to explain risk and requirements in plain language to non-technical audiences.
  • Ability to partner with business stakeholders to enable successful outcomes.

Responsibilities

  • Design, build, and optimize conversational agents and multi-agent solutions in Microsoft Copilot Studio, including topics, actions, knowledge sources, grounding strategies, and hand-off logic for enterprise business scenarios.
  • Connect agents to enterprise content, Power Automate flows, APIs, and custom connectors to enable end-to-end business actions and intelligent automation.
  • Use AI Builder, generative AI capabilities, and Azure AI services to develop solutions that classify, extract, summarize, route, and process information while reducing manual effort.
  • Build and maintain Power Automate cloud flows supporting multi-system business processes, including exception handling, retry logic, monitoring, and operational support.
  • Monitor, analyze, and improve agent and automation performance using usage metrics, accuracy rates, user feedback, and operational insights.
  • Diagnose and resolve solution issues related to performance, throttling, capacity, and platform limitations across Power Platform and connected services.
  • Design, build, and support Canvas Apps, Model-Driven Apps, and Power Pages solutions from requirements discovery through deployment and post-release support.
  • Translate complex or ambiguous business requirements into scalable solution designs, including application architecture, data models, security models, and integration patterns.
  • Use AI capabilities, including Microsoft Copilot and generative AI services, to develop applications that solve business problems and improve user productivity.
  • Develop reusable components, templates, and development patterns that promote consistency, scalability, and adoption across the team.
  • Own solution testing, including test case definition, functional validation, integration testing, and requirements confirmation.
  • Plan and facilitate user acceptance testing with business users, including scenarios, test data, coordination, and session support.
  • Manage defects and feedback through resolution, distinguishing release blockers from future enhancements.
  • Secure formal go-live sign-off and support deployment, stabilization, and early adoption.
  • Perform structured pre-release reviews of AI and low-code solutions to validate data access, user permissions, functional scope, business ownership, and operational readiness.
  • Validate that data security controls and role-based access permissions are in place before integration or deployment to reduce oversharing risk and support secure, compliant solution delivery.
  • Contribute to quality assurance standards, release checklists, and responsible AI guidance that promote consistent testing, governance, and continuous improvement.
  • Monitor licensing and consumption across Power Platform and AI services to identify cost, capacity, and usage trends.
  • Support daily Power Platform operations, including tenant administration, environments, requests, capacity, and access.
  • Maintain approved data loss prevention policies, connector controls, and environment standards with security and platform stakeholders.
  • Maintain portfolio inventory and ownership records for applications, flows, and AI agents, including purpose, status, usage, and risk reporting.
  • Serve as an early advisory contact for teams exploring new AI solutions, guiding them toward appropriate design, governance, and delivery pathways.
  • Deliver training, demonstrations, and office hours to support effective solution development and adoption.
  • Maintain accessible guidance, templates, and checklists that promote consistent, effective practices.

About the Company

Bird Construction

Canadian construction and infrastructure builder

Bird Construction is a Canadian construction company operating nationwide, self-performing much of its work in-house. It builds commercial, institutional, industrial, civil, marine, and energy infrastructure, including data centres, nuclear facilities, ports, and mass-timber projects. What sets Bird apart is its century-long history, self-perform platform, and expanded marine capabilities from its Fraser River Pile & Dredge acquisition. The goal is to deliver technically demanding projects safely while growing across Canada's infrastructure sectors.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Mississauga, Canada
Founded
1920

Recently Posted Jobs

Explore more opportunities at Bird Construction

See more jobs