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AI -Senior Mobile Engineering Specialist

@ K&K Global Talent Solutions INC.

Montréal, Quebec

Full-time
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SIGNALS

Responsibilities:

  • Lead the technical onboarding of AI applications (such as ChatGPT, Grok, Claude, Hebbia and AIMS) onto the firm's managed mobile platform, assessing…
  • Partner with the WTS AI squad, the proxy team, application vendors and business-aligned technology teams to take new applications through to production
  • Work on the integration of MDM (Intune, Mobile Iron) and Identity Provider systems
  • Work on standardizing Mobile Identity and Access Management technologies
  • Enhance the end-user authentication experience on mobile devices by promoting biometric and password less authentication technologies
  • Ensure solutions meet the necessary security, supportability and performance requirements

Requirements summary:

  • Experience Required: 10 + Years
  • The candidate will have a very strong technical foundation, a strategic mind-set, great communication skills and the ability to collaborate well with others in a truly global team.
  • Required Skills:
  • 8+ years' experience in mobile device management, working at senior engineer level
  • Experience integrating MDM systems with PingFederate or Microsoft Entra
  • Experience implementing SSO for mobile applications
Source and dates

Source type not verified · apify-linkedin

Employer posting date
Not provided
First seen by our source
2026-11-11
Source record updated
2026-11-11

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K&K Global Talent Solutions INC.

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Job description

Position: AI -Senior Mobile Engineering Specialist

Location: Montreal, QC (Hybrid)

Employment Type: Full Time

Experience Required: 10 + Years

Role Summary:

looking to hire a Senior Mobile Engineering Specialist who will join the global team of mobile engineers and developers responsible for enabling the mobile technologies that power the firm's corporate mobile offerings. We are looking for a person who can contribute to enhancing the device experience on mobile devices. The candidate will have a very strong technical foundation, a strategic mind-set, great communication skills and the ability to collaborate well with others in a truly global team.

Required Skills:

  • 8+ years' experience in mobile device management, working at senior engineer level
  • Experience integrating MDM systems with PingFederate or Microsoft Entra
  • Experience implementing SSO for mobile applications
  • In-depth understanding of authentication and authorization technologies and standards such as SAML, OAuth and OIDC
  • Experience onboarding mobile applications from the Apple App Store and Google Play Store
  • Strong knowledge of the iOS and Android mobile operating systems
  • Experience with mobile device management platforms such as MobileIron, Microsoft Intune, BlackBerry, Air Watch or similar
  • Strong understanding of basic networking concepts and internet protocols
  • Ability to work well in a team and independently

Key Responsibilities:

  • Lead the technical onboarding of AI applications (such as ChatGPT, Grok, Claude, Hebbia and AIMS) onto the firm's managed mobile platform, assessing enterprise control gaps and designing workable solutions
  • Partner with the WTS AI squad, the proxy team, application vendors and business-aligned technology teams to take new applications through to production
  • Work on the integration of MDM (Intune, Mobile Iron) and Identity Provider systems
  • Work on standardizing Mobile Identity and Access Management technologies
  • Enhance the end-user authentication experience on mobile devices by promoting biometric and password less authentication technologies
  • Ensure solutions meet the necessary security, supportability and performance requirements
  • Create, review, maintain and update documentation
  • Work with the Level 3 support team to investigate and troubleshoot root causes

Preferred Skills:

  • Experience with Office 365 and Intune App Protection Policies
  • Knowledge of computer and mobile security concepts
  • Basic development knowledge on iOS and/or Android
  • Experience with networking, load balancers, proxy servers and firewalls
  • Experience onboarding or securing AI / generative AI applications in an enterprise environment

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