AI Architect (Pre-Sales)
New
CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in IT, solution architecture, or technical consulting, with at least 3+ years in AI architecture or AI solution design
- Required Skills
- Cloud Computing
Requirements
- 8+ years of experience in IT, solution architecture, or technical consulting.
- At least 3+ years in AI architecture or AI solution design.
- Strong expertise in AI/ML concepts, enterprise architecture frameworks, and hybrid cloud environments.
- Proven experience in pre-sales, technical consulting, or customer-facing solution selling roles.
- Ability to design scalable AI solutions and translate them into business-aligned architectures and technical designs.
- Strong knowledge of cloud, data platforms, and integration of third-party tools and services.
- Excellent communication, storytelling, and presentation skills for both technical and executive audiences.
- Strong business acumen including ROI, TCO, and value-based selling principles.
- Hands-on experience building demos, POCs, or technical prototypes for enterprise customers.
- Bachelor’s or advanced degree in Computer Science, Engineering, or related technical field.
Responsibilities
- Architect and design AI-driven solutions aligned with customer business outcomes across edge-to-cloud environments, ensuring scalability, performance, and long-term value.
- Engage with customers and sales teams to develop compelling pre-sales proposals, demonstrations, and proof-of-concept solutions that clearly articulate business impact.
- Translate business requirements into functional and technical AI architectures, integrating hardware, software, cloud, and third-party components.
- Lead technical discussions with enterprise stakeholders, positioning solution value, ROI, and differentiation against competitive offerings.
- Conduct deep technical discovery sessions and contribute to account strategy, pipeline development, and opportunity qualification.
- Build and deliver demos, solution walkthroughs, and technical presentations for executive-level audiences.
- Stay current with emerging AI, cloud, and data technologies, incorporating trends into solution design and customer recommendations.
- Collaborate with internal engineering, product, and sales teams to refine offerings and improve win rates.
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