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Fujitsu Ltd.

Principal Data & AI Solution Architect

SG

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What you’ll work on

Full posting

  • Translate business requirements into Data & AI solution architectures and roadmaps.

  • Build trusted advisor relationships with C-level executives and senior stakeholders.

  • Design end-to-end solutions across:

From the employer’s posting
Facilitate workshops, discovery sessions, and executive briefings. Translate business requirements into Data & AI solution architectures and roadmaps. Build trusted advisor relationships with C-level executives and senior stakeholders.
Translate business requirements into Data & AI solution architectures and roadmaps. Build trusted advisor relationships with C-level executives and senior stakeholders. Solution Design
Solution Design Design end-to-end solutions across: Data Platforms

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Open source at www.jobs.global.fujitsu.com ↗Read the full description ↓
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Sep 8, 2026
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Job description

We are seeking a highly motivated Data & AI Pre-Sales Consultant to support business development and solution sales activities across Singapore & Thailand. The role will work closely with sales, delivery, technology partners, and customers to develop innovative Data, Analytics, AI, and Generative AI solutions that address business challenges and deliver measurable outcomes.

The successful candidate will combine strong technical expertise with consulting and communication skills to engage executives, architects, and business stakeholders throughout the sales cycle.

Key Responsibilities:

Customer Engagement

  • Engage customers to understand business priorities, challenges, and transformation objectives.
  • Facilitate workshops, discovery sessions, and executive briefings.
  • Translate business requirements into Data & AI solution architectures and roadmaps.
  • Build trusted advisor relationships with C-level executives and senior stakeholders.

Solution Design

  • Design end-to-end solutions across:
    • Data Platforms
    • Data Warehousing & Lakehouse
    • Data Engineering
    • Business Intelligence & Analytics
    • Machine Learning
    • Generative AI & AI Agents
    • AI Applications Development
  • Develop solution architectures, reference architectures, and technical blueprints.
  • Ensure solutions meet security, compliance, scalability, and governance requirements.

Pre-Sales & Business Development

  • Support account teams in opportunity qualification and pursuit strategies.
  • Develop proposals, statements of work, and response documents for RFPs/RFIs.
  • Deliver solution presentations, demonstrations, and proof-of-concepts.
  • Create business cases showing ROI, value realization, and transformation outcomes.
  • Support contract negotiations and solution costing.

AI & Innovation

  • Lead customer discussions on AI strategy and adoption roadmaps.
  • Demonstrate Generative AI use cases and industry-specific solutions.
  • Develop AI transformation workshops and executive visioning sessions.
  • Stay current on industry trends, emerging technologies, and competitor offerings.

Partner Ecosystem

  • Collaborate with hyperscalers and technology partners such as:
    • Microsoft Azure
    • AWS
    • Databricks
    • OpenAI
    • Anthropic
    • NVIDIA
    • Palantir
  • Develop joint go-to-market initiatives and solution offerings.

 

Required Qualifications:

Education

  • Bachelor's Degree in Computer Science, Data Science, Information Technology, Engineering, or related discipline.

Experience

  • 8+ years of experience in Data, Analytics, AI, or Cloud solutions.
  • 3+ years in a customer-facing pre-sales, consulting, or solution architecture role.
  • Proven experience leading technical discussions with enterprise customers.
  • Experience supporting enterprise solution sales pursuits.

Technical Expertise

Strong knowledge in several of the following areas:

Data & Analytics

  • Data Lakehouse architectures
  • Data Warehousing
  • Data Engineering
  • ETL/ELT platforms
  • Master Data Management
  • Business Intelligence

Artificial Intelligence

  • Generative AI
  • LLMs and AI Agents
  • Retrieval Augmented Generation (RAG)
  • Prompt Engineering
  • AI Governance and Responsible AI

Cloud Platforms

  • Microsoft Azure

Data Platforms

  • Databricks
  • Microsoft Fabric
  • Synapse Analytics
  • Azure AI Foundry
  • Power BI

 

 

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