Description
The AI-focused solution architecture advisor ensures that the Department's strategic objectives are aligned with the optimal application of AI best practices and standards. They are responsible for supporting an AI innovation unit in the design, development, and integration of AI solutions within departmental systems, ensuring their alignment with the principles of digital sovereignty, security, and data governance.
Requirements
Eligibility criteria (minimum requirements): MUST SPEAK, WRITE AND UNDERSTAND FRENCH LANGUAGE
1. Possess an undergraduate university degree (Bachelor's) in computer science, business administration, or a related field
2. Have obtained training in artificial intelligence or a related field, attested by a university degree or a recognized professional certification in AI (e.g. Azure AI Engineer, Azure AI Fundamentals, IBM Generative AI Engineering, Google Cloud Professional Machine Learning Engineer, etc.)
3. Possess eight (8) years of experience as an IT architecture consultant, including one (1) mandate to integrate artificial intelligence components (generative, analytical or predictive) into an enterprise solution
4. Have participated in two (2) projects of more than 500 person-days each in a solution architecture consultant role, including the design of preliminary or detailed architecture deliverables integrating emerging technologies (AI, cloud computing, advanced analytics, etc.)
5. Have completed one (1) mandate of more than six (6) months including the drafting of executive deliverables related to artificial intelligence (e.g., architecture summary, comparative study, strategic presentation)
Bonuses
Benefits
Horaire de travail : 35 heures/semaine
Mode de travail : 100% Télétravail mais doit résider à Québec
Salaire annuel: 70 000-100 000 $
Responsibilities
• Analyze business needs and technological requirements in order to design appropriate solutions
• Evaluate the development efforts, resources required, and costs associated with implementing the solutions
• Develop solution architectures integrating AI components (generative, analytical, predictive)
• Ensure consistency between AI solutions and existing technological ecosystems (data center, cloud computing, ERP, etc.)
• Collaborate with business, information, and technology architects to ensure an integrated vision
• To guide AI experiments and propose industrialization scenarios
• Participate in technology monitoring and recommend sovereign or open solutions
• Identify the technical and financial trade-offs that allow for cost optimization without compromising performance or the sustainability of the solutions
Deliverables
• Solution architecture documents incorporating AI components
• AI architecture summaries and executive strategic presentations
• Comparative studies of AI solutions (generative, analytical, predictive)
• Scenarios for industrializing AI experiments
• AI technology monitoring recommendations
• Contribution to the ministerial AI architecture framework
• Monthly timesheets
• Monthly progress reports