AI Training Consultant

Innovecture; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

Innovecture is seeking a Technical AI Implementation & Use Case Building professional in Toronto to drive AI adoption through technical discovery, workflow analysis, and use-case translation into practical sessions with realistic datasets and prompts.

Ideal candidates bring strong consulting and project management experience, proficiency with the MS Office suite, and excellent communication and collaboration skills to lead cross-functional initiatives.

Qualifications

• AI/ML fundamentals: Practical understanding of LLMs, prompt engineering, generative AI capabilities, limitations, and use case suitability.
• Technical problem-solving: Ability to decompose problems, identify AI value, and architect integrated solutions.
• Data literacy: Understanding data requirements, privacy considerations, and data quality impacts AI performance.
• Business process analysis: Experience mapping workflows, identifying inefficiencies, and designing improvements.
• Stakeholder management: Influence without authority, manage competing priorities, build consensus across groups.
• Clear communication: Explain technical concepts to non-technical audiences and convey business value.

Skills

AI/ML fundamentals

Technical problem solving

Data literacy

Business process analysis

Stakeholder management

Clear communication

Job description

Technical AI Implementation & Use Case Building

Deploy AI solutions for business workflows: Conduct technical discovery through interviews, process mapping, and workflow analysis to identify opportunities.

Develop use cases, contribute to the Use Case Repository and translate use cases into practice sessions: Convert validated workflows into hands-on, scenario-based exercises with realistic datasets, prompt sequences, and quantifiable outcomes.

Consultative Stakeholder Engagement

Drive AI adoption with business and end‑users: Partner with internal stakeholders across functions to understand objectives, constraints, and success criteria by conducting needs analysis and hand‑on experimental workshops.

Evangelize a culture of innovation and experimentation: Build organizational understanding of what AI can and cannot do, establishing realistic expectations while inspiring innovation and experimentation

What You Bring

• AI/ML fundamentals: Practical understanding of Large Language Models (LLMs), prompt engineering, generative AI capabilities, limitations, and use case suitability.
• Technical problem-solving: Ability to decompose business problems, identify where AI adds value, and architect solutions that integrate with existing workflows.
• Data literacy: Understanding of data requirements, privacy considerations, and how data quality impacts AI performance.
• Business process analysis: Experience mapping workflows, identifying inefficiencies, and designing improved processes powered by technology.
• Stakeholder management: Proven ability to influence without authority, manage competing priorities, and build consensus across diverse groups.
• Clear communication: Ability to explain technical concepts to non‑technical audiences and business value to technical teams.

Your Experience & Skills.

• 5+ years of working experience in IT.
• Strong consulting and project management experience.
• Proficient in Microsoft Office Suite (Excel, PowerPoint, Word).
• Excellent communication, collaboration, and stakeholder management skills.
• Exceptional problem‑solving skills and the ability to work independently at a high level.
• Able to quickly shift gears and work on projects of varying nature with others across different regions, levels and functions.
• A lifelong learner with an appetite for deepening your information technology knowledge, introducing change, and a team player.

What Makes Your Standout

• Knowledge of Generative AI and prompt engineering.
• Experience of using Chat GPT and Claude Cowork.