Technical Lead - IT - Artificial Intelligence (AI)

Job Summary

The AI Technical Lead will be responsible for spearheading Artificial Intelligence (AI) initiatives within the city, ensuring all use cases adhere to internal risk management frameworks (privacy, security, ethical use, and quality) and align with city standards. Similarly, they will employ standard project management methods and run their projects as per PMBOK standards. This role encompasses support for the current AI landscape and evolving areas such as generative AI. The AI Technical Lead will oversee individual use cases and collaborate with various teams to identify potential opportunities and risks. Additionally, the role involves developing robust data models and machine learning algorithms to achieve desired outcomes.  This role will provide guidance for development of Ethical Use AI policies, adherence to Provincial and Federal Policies/Legislation/Regulations on AI and continual monitoring of AI Policies and Standards.  The AI Technical Lead will develop and provide presentations on AI for EXLT and staff across the city to inform and educate them on the rapidly evolving AI landscape.

Duties and Responsibilities

Under the direction of the IT Manager, Business Intelligence, the successful candidate will:
⦁    Lead the design, development, and implementation of AI solutions to address the city’s needs.
⦁    Oversee the end-to-end lifecycle of AI projects, from conception to deployment and maintenance.
⦁    Build and deploy predictive models and AI solutions.
⦁    Develop and refine machine learning models, algorithms, and frameworks to support city initiatives.
⦁    Manage all aspects of project lifecycle by applying project management methodologies (agile, hybrid, waterfall), PMI knowledge domains (Stakeholder Management, Risk Management, Scope Management, Procurement Management, etc.) and adhering to Project       Management Body of Knowledge (PMBOK), City standards and best practices for initiating, planning, executing, monitoring & controlling, and closing projects.
⦁    Conduct research on data availability/collection and suitability for various city projects.
⦁    Provide technical & process knowledge for business cases, other projects and initiatives for business process improvements and simplification.
⦁    Generate reports through developed queries and logic to support decision-making.
⦁    Collaborate with various departments to identify and prioritize AI use cases.
⦁    Work closely with city officials, department heads, city staff and external partners to understand requirements and deliver solutions.
 

Skills and Qualifications

⦁    Graduate degree in a quantitative field, Computer Science, Business Administration, Artificial Intelligence or a related field and/or Post graduate diploma or certification in Artificial Intelligence
⦁    Minimum of 5 years of combined experience in Data Management, Data Science, and Artificial Intelligence projects
⦁    Hands-on experience in developing, managing, or deploying AI models or tools.
⦁    Experience with large language models (LLMs), refining prompts, and implementing agentic solutions in production environments.
⦁    Experience with natural language processing (NLP) and computer vision technologies is a plus.
⦁    In-depth knowledge of emerging technologies and cloud-based tools for AI and generative AI development.
⦁    Understanding of global regulatory requirements for AI.
⦁    Expertise in risk policy frameworks and quality control/testing frameworks.
⦁    Project Management Certification and/or Agile Project Management Certification
⦁    Proficiency in programming languages such as Python, R, or Java.
⦁    Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
⦁    Strong skills in data analysis, data visualization, and data engineering.
⦁    Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
⦁    Familiarity with AI/ML lifecycle management tools and version control systems.
⦁    Competence in database management and big data technologies (e.g., SQL, NoSQL, Hadoop, Spark).
⦁    Ability to architect scalable and robust AI systems, ensuring high performance and reliability.
⦁    Demonstrated leadership experience with outstanding project management, analytical, implementation, organizational, communication (oral & written), and customer service skills 
⦁    The following areas and experiences are considered as strong preferences or assets:
⦁    Preferred one or more AI certification(s); Certified Artificial Intelligence Practitioner (CAIP), Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, TensorFlow Developer Certificate,       IBM AI Enterprise Workflow Certification, Data Science Certification from recognized institutions (e.g., Coursera, edX, DataCamp)
⦁    Additional Certifications in data privacy, ethical AI, cloud computing platforms (e.g., Certified Information Privacy Professional (CIPP), Ethical AI Certification), AWS Certified Solutions Architect, Google Cloud Professional Data Engineer)
⦁    Data Science Certification