Principal Solution Architect, Data & AI

Role summary

Customer AI and architecture

• Position Custom AI capabilities with customer technical, business-outcome, and IT decision-maker personas.
• Build customer-facing demonstrations of generative AI, MLOps, and data pipeline or preparation technologies.
• Architect end-to-end AI systems integrating data pipelines, machine-learning models, and deployment platforms for customer use cases.
• Act as a technical link among sales specialists, partner business development managers, and cloud, server, storage, and networking architects.

Offerings, leadership, and sales

• Research AI use cases and industries, develop technical expertise, and engage partner technical leads.
• Help develop, launch, market, and maintain AI offerings; provide thought leadership on emerging technologies.
• Lead complex engagements across hybrid platforms, modern workspace, security, and services, and provide independent customer recommendations.
• Support sales in high-value accounts; qualify opportunities, gather requirements, design solutions, and maintain CRM records for forecasting.
• Produce solution designs, RFP responses, TCO and ROI models, business cases, high-level designs, and statements of work.
• Contribute to team projects and support the development of less experienced colleagues.

Areas of expertise

• Subject-matter expertise includes predictive AI, machine learning, generative AI, MLOps, data pipelines, and DevOps.
• The role interfaces with customer business, data science, and IT operations teams and engages with technical and business decision-makers.

Requirements

• Expert subject-matter knowledge of predictive AI, machine learning, generative AI, and related capabilities such as MLOps, data pipelines, and DevOps.
• Ability to engage customer business, data science, and IT operations stakeholders and establish credibility in AI solutions.
• Ability to architect end-to-end AI systems that integrate data pipelines, machine-learning models, and deployment platforms.
• Ability to lead complex, multi-technology customer engagements and provide independent technology recommendations tied to business outcomes.
• Ability to support sales engagements, qualify opportunities, understand business and technical requirements, and design solutions across a technology portfolio.
• Ability to produce solution designs, RFP responses, TCO and ROI models, business cases, high-level designs, and statements of work.
• Ability to develop technical expertise through research, hands-on learning, training, and engagement with partner technical leads.