AI Solutions Architect

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description: 

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.

We are seeking a highly skilled AI Solutions Architect to help establish, scale, and operationalize AI capabilities across Ingram’s business.

This role will:

• Define and lead the AI architecture strategy
• Build and evolve AI solution use cases within the Center of Excellence (CoE)
• Support business units in identifying, assessing, and implementing AI opportunities
• Act as a trusted advisor to stakeholders on AI adoption, governance, and value realization

Key Responsibilities

AI Strategy & Architecture

• Design and implement end-to-end AI/ML and GenAI architectures
• Define reference architectures, standards, and best practices for AI solutions
• Ensure scalability, security, and compliance of AI platforms
• Evaluate and onboard tools (e.g., Azure AI, OpenAI, MLOps platforms)

AI Center of Excellence (CoE) Leadership

• Establish and maintain a central AI use case repository
• Develop a structured AI use case lifecycle, including:
• Ideation → Assessment → Prioritization → Implementation → Value tracking
• Partner with business units to:
• Identify high-value AI opportunities
• Translate business problems into AI solutions
• Track and report AI value realization (ROI, efficiency gains, revenue impact

AI Use Case Development & Delivery

• Lead the design and delivery of AI solutions, including:
• Generative AI use cases (Copilots, chatbots, automation)
• Data-driven predictive models
• Intelligent process automation

Work closely with engineering teams to:

• Prototype and deploy AI applications
• Integrate AI into enterprise workflows

AI Advisory & Assessment (Critical)

• Conduct AI readiness assessments across business units
• Lead AI discovery workshops with stakeholders
• Provide advisory on:
  • AI adoption strategy
  • Use case prioritization
  • Data readiness and governance
• Develop AI roadmaps tailored to business maturity and goals
• Candidates with proven experience in AI advisory / consulting engagements will be strongly preferred

Governance, Risk & Compliance

• Define AI governance frameworks (responsible AI, data privacy, ethics)
• Ensure compliance with internal policies and regulatory standards
• Establish guardrails for:
  • Data usage
  • Model usage
  • AI outputs

Stakeholder & Change Management

• Act as a bridge between:
  • Business leaders
  • IT / Data / Engineering teams
• Communicate AI concepts in a clear, non-technical manner
• Drive organization-wide adoption of AI solutions

Required Skills & Experience

Core Expertise:

• 8+ years in solution architecture / data / AI / digital transformation
• Strong experience in:
• AI / ML platforms (Azure AI, AWS, GCP)
• Generative AI (LLMs, Copilots, prompt engineering)
• Data architecture (data lakes, pipelines, APIs)
• Hands-on experience in deploying end-to-end AI solutions

AI & Technology Skills

• Strong knowledge of infrastructure (onpremise/ cloud/ networking) and cybersecurity for enterprise
• Prior knowledge of enterprise AI products will be advantageous (H20.ai, IBM Watsonx.. etc)
• LLM/GenAI experience (OpenAI, Azure OpenAI, LangChain, etc.)
• MLOps / AI lifecycle management
• API-based integration of AI into business systems
• Familiarity with tools like:
• Power Platform, ServiceNow, CRM/ERP integrations

Advisory & Business Skills

• Experience in:
• Conducting AI assessments / advisory engagements
• Facilitating workshops and stakeholder discussions
• Translating business problems into AI use cases
• Ability to define AI strategy and roadmap

Soft Skills

• Strong communication and stakeholder management
• Ability to influence at senior leadership level
• Strategic thinking with execution mindset
• Ability to work in a fast-evolving AI landscape

Preferred / Nice-to-Have

• Experience building or working within an AI Center of Excellence
• Prior consulting or advisory background

Experience in:

• Global / multi-entity organizations
• PSA / service delivery environments

Certifications (optional but valuable):

• Cloud AI Engineer / Solutions Architect
• Data & AI certifications