Specialist GenAI Architect
J
JobgetherInformation Technology
Remote work opportunity available across Canada.Full-TimeSenior
Salary105,745 - 143,067 CAD per year
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Job Details
- Experience
- Master’s degree with 6+ years of relevant experience, or Bachelor’s degree with 8+ years of relevant experience.
- Required Skills
- AWSPythonRESTful APIsLLMGenerative AI
Requirements
- Master’s degree with 6+ years or Bachelor’s degree with 8+ years of relevant experience in computer science, IT, or related fields.
- 6+ years of experience in software engineering, system design, or solution architecture.
- 2+ years of hands-on experience architecting and delivering production generative AI applications.
- Strong knowledge of GenAI concepts including prompt engineering, embeddings, vector search, and agent orchestration.
- Demonstrated experience designing secure, scalable cloud-based solutions.
- Experience architecting AWS services, including cloud-native compute, identity management, and event-driven architectures.
- Strong understanding of secure enterprise integrations using REST APIs, OAuth, and RBAC.
- Advanced proficiency in Python for building prototypes and automation tools.
- Experience creating architecture documentation and technical specifications.
- Ability to communicate complex technical concepts to diverse stakeholders.
Responsibilities
- Design end-to-end architectures for LLM-powered assistants, AI agents, and RAG applications.
- Translate business and technical requirements into architecture designs, integration patterns, and security models.
- Select appropriate AI solution patterns based on scalability, risk, and cost requirements.
- Develop prototypes and reference implementations to validate architecture decisions.
- Guide engineering teams through implementation while ensuring alignment with security policies and standards.
- Establish reusable AI architecture patterns, guardrails, and documentation.
- Define requirements for privacy, observability, and cost management.
- Partner with product, engineering, and cybersecurity teams to advance AI initiatives from strategy to production.
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