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1 день назад

Sr. Specialist, AI Solutions Developer

90 000 - 140 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Specialist, AI Solutions Developer (AI/Azure): Designing, developing, integrating, and deploying secure AI applications, copilots, automation solutions, and intelligent workflows for enterprise operations with an accent on Azure AI Services, Azure OpenAI, Microsoft Copilot, LLMs, RAG, and enterprise integration. Focus on building scalable solution architectures, containerizing and orchestrating workloads with Docker and Kubernetes, and embedding governance, security, privacy, and auditability into production AI systems.

Location: Waterdown, Ontario, Canada

Salary: CAD 90,000–140,000 per year

Company

hirify.global develops defense technology and end-to-end solutions connecting space, air, land, sea, and cyber domains for national security customers.

What you will do

  • Design, develop, test, and deploy AI-powered applications, copilots, automation solutions, and intelligent workflows.
  • Translate business requirements into scalable AI solution architectures and technical specifications.
  • Integrate AI services with enterprise applications, databases, APIs, and business workflows.
  • Configure and deploy Azure AI services, Azure OpenAI, and Microsoft Copilot technologies.
  • Containerize, orchestrate, scale, and manage AI workloads using Docker and Kubernetes.
  • Implement responsible AI, security, privacy, access control, auditability, and governance requirements while collaborating with business, IT, engineering, data, and external stakeholders.

Requirements

  • Experience developing AI solutions with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, and related AI platforms.
  • Strong understanding of large language models, prompt engineering, retrieval-augmented generation, agentic AI workflows, and AI application patterns.
  • Experience designing and implementing AI-powered copilots, intelligent assistants, knowledge management, and process automation solutions.
  • Experience integrating AI solutions with enterprise systems, applications, databases, and business workflows.
  • Strong programming skills in Python, C#, JavaScript, or similar modern development languages.
  • Experience using Docker for AI application and service containerization and Kubernetes for orchestration, scaling, deployment, and workload management.
  • Ability to design secure, scalable, and maintainable end-to-end AI architectures; evaluate technologies for technical fit, scalability, cost, and sustainability; and translate business requirements into technical specifications.
  • Excellent communication and stakeholder management skills across business and technical audiences, including the ability to explain architecture concepts and guide implementation and change adoption.
  • Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Analytics, Business Technology, or a related discipline with at least 6 years of relevant experience; or a graduate degree with at least 4 years of related experience; or at least 10 years of directly related experience in lieu of a degree.
  • Applicants must be eligible for registration with the Controlled Goods Program and obtain and maintain a positive security assessment. Some positions may require Canadian Reliability status or Level 2 Secret security clearance.

Nice to have

  • Experience building and deploying AI-powered applications in enterprise environments.
  • Experience integrating AI solutions into business applications and operational workflows.
  • Experience supporting or coordinating cross-functional technology implementations.
  • Knowledge of responsible AI governance and technology risk management practices.
  • Experience supporting enterprise architecture, systems integration, or operational transformation programs.
  • Experience with Microsoft Copilot, Azure AI/OpenAI, Microsoft Fabric, enterprise integration technologies, and responsible AI governance tools.
  • Experience deploying, managing, scaling, and monitoring AI applications, automation services, APIs, and enterprise integration workloads across cloud and hybrid environments using Docker and Kubernetes.

Culture & Benefits

  • Inclusive and equitable workplace focused on respect, dignity, community commitment, and professional growth.
  • Accommodation is provided for applicants with disabilities.
  • Pre-employment background checks and substance abuse testing may apply where required.

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