AI Solutions Architect – Pre-Sales
Offre en anglaisLead technical discovery and design enterprise-grade AI architectures to help customers achieve measurable business value. Partner with sales and delivery teams to develop winning solution strategies, proposals, and technical roadmaps.
- Sur place
- BC
- Publié 12 août 2026
- Postuler avant le 11 sept. 2026
- 1 poste
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Résumé du poste
Technical Pre-Sales Architect – AI & Intelligent Platforms About the Role We are seeking an experienced Technical Pre-Sales Architect to help shape the future of enterprise AI adoption. This role sits at the intersection of business, technology, and innovation, partnering with customers to understand their strategic objectives and design AI solutions that deliver measurable business value. As a trusted technical advisor, you will engage with executive stakeholders, solution architects, alliance partners, and delivery teams to shape complex AI opportunities from initial discovery through solution design and transition to delivery. You will help customers understand how emerging AI technologies—including Large Language Models (LLMs), Agentic AI, Generative AI, and enterprise AI platforms—can transform their businesses. The ideal candidate combines strong enterprise architecture expertise with exceptional communication skills and the ability to translate complex technical concepts into compelling business outcomes. Key Responsibilities Customer Engagement & Solution Leadership Lead technical discovery workshops with enterprise customers to understand business objectives, technology landscapes, and AI adoption goals. Act as a trusted technical advisor throughout the sales and solution lifecycle. Deliver executive presentations, architecture reviews, demonstrations, and solution workshops. Translate customer challenges into scalable AI solution strategies aligned with measurable business outcomes. Build strong relationships with customer executives, architects, and technical teams. AI Solution Architecture Design enterprise-grade AI architectures spanning cloud platforms, data platforms, LLMs, Agentic AI, and enterprise integrations. Define reference architectures, deployment approaches, and implementation roadmaps. Recommend solution patterns that balance innovation, scalability, security, governance, and operational readiness. Collaborate with engineering and delivery teams to validate solution feasibility and enable a smooth transition into implementation. Pre-Sales & Opportunity Development Partner with Sales, Alliance, and Delivery teams to qualify opportunities and develop winning solution strategies. Support proposals, Statements of Work (SOWs), technical responses, and customer presentations. Contribute to solution estimation, technical risk assessments, and implementation planning. Develop reusable solution accelerators, architecture patterns, demonstrations, and sales enablement assets. Strategic Partnerships & Innovation Collaborate with strategic technology partners across the AI and cloud ecosystem, including leading providers of LLMs, cloud AI services, data platforms, and enterprise AI solutions. Represent the organization at executive briefings, customer workshops, industry events, and technology forums. Stay current with emerging AI technologies and translate innovation into practical, enterprise-ready customer solutions. Qualifications Required Experience 7+ years of experience in Solutions Architecture, Enterprise Architecture, Technical Pre-Sales, Solution Consulting, or a related field. Proven experience designing enterprise technology solutions for large organizations. Strong understanding of enterprise architecture principles, cloud platforms, integration patterns, and modern technology ecosystems. Hands-on or solution-level experience with modern AI technologies, including LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, Generative AI, or enterprise AI platforms. Exceptional written and verbal communication skills, with the ability to engage both executive and technical audiences. Demonstrated ability to simplify complex technical concepts and communicate them through compelling business narratives. Experience leading customer workshops, discovery sessions, architecture discussions, and executive presentations. Preferred Qualifications Experience with enterprise AI platforms and technologies from providers such as OpenAI, Anthropic, Microsoft Azure AI, Palantir, or comparable platforms. Knowledge of AI governance, security, compliance, and responsible AI practices. Experience with multimodal AI, computer vision, machine learning, or AI/ML deployment. Familiarity with major enterprise cloud platforms, including Microsoft Azure, AWS, and Google Cloud. Consulting experience supporting large enterprise or Fortune 500 organizations across multiple industries. Experience developing AI proof-of-concepts, demonstrations, reference architectures, or reusable solution accelerators.
Ce que vous ferez
Lead technical discovery and design enterprise-grade AI architectures to help customers achieve measurable business value. Partner with sales and delivery teams to develop winning solution strategies, proposals, and technical roadmaps.
Exigences
Requires over 7 years of experience in solutions or enterprise architecture with a strong grasp of cloud platforms and modern AI technologies. Candidates must possess exceptional communication skills to translate complex technical concepts for executive audiences.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Solutions Architecture
- Enterprise Architecture
- Technical Pre-Sales
- Large Language Models
- Generative AI
- Agentic AI
- Retrieval-Augmented Generation
- Cloud Platforms
- Solution Design
- Executive Presentation
- Technical Discovery
- Stakeholder Management
- AI Governance
- Implementation Planning
- Proof-of-Concept Development
- Technical Writing
Domaines d’emploi
- Technology
- Consulting
- Sales
- Software
- Data & Analytics
Renseignements supplémentaires
- Expérience minimale
- 7+ ans
- Postuler avant le
- 11 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte