Sr. Platform, AI Solutions Specialist

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Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

The Sr. Platform, AI Solutions Specialist will drive adoption of intelligent, automated workflows within the Global Platform Group, shifting delivery from manual, effort-driven processes to AI-enabled operations that accelerate delivery and improve accuracy and consistency. As the Platform grows and demand increases, delivery workflows — particularly feature intake, capturing business requirements and use cases, solution and sizing, prioritization, and full testing accuracy and execution — have become resource-intensive, complex, and difficult to scale. This role will uncover experiences, build requirements, and partner closely with our AI technology team to deliver AI solutions that streamline key stages of the delivery lifecycle — from intake and business requirements definition through development and deployment — reducing cycle times, minimizing rework, and enabling teams to focus on higher-value activities. The AI Solutions Specialist is also an enabler and multiplier for the broader GPB organization: well-versed in business AI solutions such as Microsoft Copilot and Claude, sharing best practices, producing GPB-specific trainings, and ensuring teams can effectively leverage emerging AI capabilities and embed AI into day-to-day operations. This role directly supports a scalable operating model that can meet growing demand without proportional resource increases — delivering faster delivery cycles through automation of intake, prioritization, and execution processes; improved quality and consistency with reduced manual errors and rework; increased capacity by eliminating low-value, repetitive tasks; and stronger decision-making through AI-driven insights and predictive intelligence. AI fluency has been identified by GPB leadership as a critical capability to deliver on strategic priorities and meet future business needs over the next three years. 

The role: 

AI Solution Discovery & Requirements 

• Uncover experiences and build requirements to shift manual, effort-driven processes to intelligent, automated workflows that accelerate delivery and improve accuracy and consistency. 

• Identify, assess, and prioritize high-impact AI and automation use cases across the delivery lifecycle — feature intake, business requirements and use case capture, solution and sizing, prioritization, and testing. 

• Document current-state workflows, quantify pain points, and define clear target-state designs and success criteria for each AI solution. 

• Translate business needs into structured requirements, use cases, and BRDs that the AI technology team can build against. 

AI Delivery & Lifecycle Automation 

• Work closely with the AI technology team on the delivery of AI solutions, serving as the business-side owner from concept through development and deployment. 

• Streamline key stages of the delivery lifecycle — from intake and business requirements definition through development and deployment — reducing cycle times and minimizing rework. 

• Pilot, test, and iterate on AI solutions with working teams; validate outputs for accuracy, quality, and fit before scaling. 

• Improve full testing accuracy and execution through AI-assisted approaches, reducing manual errors and rework. 

• Enable teams to focus on higher-value activities by eliminating low-value, repetitive tasks through automation. 

Training, Upskilling & Enablement 

• Maintain deep, hands-on fluency in business AI solutions such as Microsoft Copilot, Claude, and emerging AI tools; evaluate new capabilities as they become available. 

• Share best practices and produce GPB-specific trainings, playbooks, and enablement materials that raise AI fluency across the organization. 

• Upskill and enable the broader GPB organization, ensuring team