Customer Solutions Architect specializing in telecommunications solutions for TELUS. Driving customer success through integrated data, voice, mobility, and IoT solutions while partnering closely with Sales Executives.
About the role
- Sales Engineer specializing in AI & Data Platforms driving technical solutions and enterprise deals. Collaborating with clients to implement effective AI applications and measurable outcomes in Toronto.
Responsibilities
- Own the technical narrative in enterprise deals: Translate ambiguous client challenges into structured problem definitions and solution architectures grounded in real-world constraints such as data availability, infrastructure, and governance.
- Turn conversations into working systems (fast): Build prototypes, POCs, and demos using real or representative data to validate feasibility and demonstrate impact.
- Make AI real for clients: Shift discussions away from theoretical models toward practical applications, including decision systems, automation frameworks, and human-in-the-loop workflows.
- Quantify and anchor business value: Define and communicate ROI tied directly to revenue growth, cost savings, or operational efficiency.
- Partner with leadership and delivery teams: Collaborate directly with the founding team and senior leadership on strategic opportunities.
- Drive complex enterprise deals forward: Engage both technical and business stakeholders, handle objections with clarity and logic, and guide conversations toward decisive outcomes.
Requirements
- 4+ years in solution engineering, data, AI, consulting, or product-focused roles
- Strong understanding of data architecture, including data warehouses, pipelines, and streaming systems
- Experience with AI/ML systems, including LLMs, agent-based systems, and applied AI use cases
- Ability to design solution architectures that integrate with existing enterprise ecosystems
- Hands-on experience prototyping with SQL, Python, APIs, or dashboards
- Proven ability to quickly translate ideas into tangible proofs of concept
- Systems-level thinking, with a focus on end-to-end workflows rather than isolated features
- Strong understanding of how businesses generate revenue and manage costs
- Ability to connect technical solutions directly to financial and operational outcomes
- Experience supporting or influencing complex deal cycles
- Clear, structured, and concise communication style
- Ability to simplify complex technical concepts for diverse audiences
- Comfortable engaging with engineers, operators, and executive stakeholders
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