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