Software Architect at Advanced Technology Search Group
Mississauga, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

19 Oct, 25

Salary

0.0

Posted On

20 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Distributed Systems, Java, Microservices, Customer Requirements, Programming Languages, Oauth

Industry

Information Technology/IT

Description

EXPERIENCE YOU’LL BRING

  • 5+ years of experience as a software architect or a technical leader
  • Strong knowledge of product architecture.
  • Well-versed with multiple programming languages such as Java, .NET, Node.js, JavaScript, Angular.js, Bootstrap, MVC, etc.
  • Skill to forecast customer requirements and propose architectural improvements.
  • Security: OAuth security and security principles.
  • Direct experience with relevant technologies and concepts: Microservices, distributed systems, SaaS at scale, private/public cloud, etc.
  • Ability to actively communicate, inspire, and motivate all levels of staff.
  • Ability to think and act strategically and proactively.
Responsibilities
  • Oversee software architecture within the scope of assigned systems.
  • Analyze and address customer needs and provide direction to AI product design with strategic recommendations.
  • Collaborate with internal and external stakeholders to gather architecture and system requirements.
  • Analyze and provide feedback on product strategy.
  • Troubleshoot coding problems quickly and efficiently to ensure a productive workplace
  • Evaluate implications of prospective architectural changes and proactively suggest enhancements.
  • Work in a consultative fashion with other organizations such as security and operations.
  • Work closely with security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems.
  • Develop and maintain a comprehensive enterprise architecture for AI/ML/GenAI initiatives
  • Lead transformational initiatives to bridge the gap between current and desired AI/ML capabilities, collaborating with cross-functional teams to ensure successful implementation.
  • Establish governance frameworks and decision criteria for AI/ML and GenAI projects, ensuring adherence to industry standards, regulatory requirements and Responsible AI
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