Latest job information from Ingram Micro, Inc. for the position of AI Solutions Architect. If the AI Solutions Architect vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Ingram Micro, Inc. for the position of AI Solutions Architect below matches your qualifications.
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)
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
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Job Info:
Company: Ingram Micro, Inc.
Position: AI Solutions Architect
Work Location: Singapore
Country: SG
How to Submit an Application:
After reading and understanding the criteria and minimum qualification requirements explained in the job information AI Solutions Architect at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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