Pre-Sales Solution Architect

Fujitsu Limited; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Fujitsu Limited in India seeks a Pre-Sales Solution Architect for Data Services, Analytics, AI/ML and Data Platforms. You will shape, design and position data-led transformations for global customers, working closely with Sales, Delivery Teams, and technology partners.

Responsibilities include qualifying opportunities, leading discovery workshops, designing end-to-end data architectures, responding to RFIs/RFPs, and developing solution narratives, roadmaps and pricing strategies.

Qualifications

• Experience in designing data and AI solutions for enterprise-scale environments.
• Ability to lead discovery, define architectures, and respond to RFPs.
• Experience with DataOps & MLOps including CI/CD for data pipelines.
• Familiarity with cloud platforms (Azure, AWS, GCP) and modern data platforms.

Responsibilities

• Qualify opportunities and understand business objectives, data maturity and transformation priorities.
• Lead discovery workshops and design end-to-end Data & AI solutions.
• Define target-state architectures, roadmaps and implementation approaches.
• Respond to RFPs, create solution narratives and pricing considerations.
• Collaborate with delivery teams to ensure feasible, revenue-rich proposals.

Skills

Data Warehouse

Lakehouse Architectures

Enterprise Data Platforms

Enterprise Reporting

Dashboard Strategy

Data Storytelling

Tools

Azure ML

AWS SageMaker

Databricks

Palantir

TensorFlow

Scikit-learn

Job description

Location Flexibility: Multiple Locations in Country

Posting Start Date: 10/1/26

Job Title:

Reports to:

Director

Department/Group:

Global Presales and Solution (GPS)

Location:

About Fujitsu

Fujitsu is the leading Japanese global information and communication technology company, offering a wide range of technology products, solutions and services. We build new possibilities by connecting people, technology and ideas, creating a more sustainable world where anyone can advance their dreams.

Role Summary (Pre-Sales Solution Architect – Data Services, Analytics, AI/ML & Data Platforms)

The Pre-Sales Solution Architect for Data & AI is a strategic and customer-facing role within the Global Pre-Sales & Solutions (GPS) organization responsible for shaping, designing, and positioning business-led Data, Analytics, AI/ML, DataOps, and Cloud Data Platform solutions for global customers.

The role works closely with Sales, Industry Leads, Delivery Teams, UVANCE Digital Shifts, Technology Partners, and Global Solution Architects to qualify opportunities, define solution, design delivery roadmaps, respond to RFPs, create differentiated solutions, and articulate the business value of Data & AI-led transformation.

Key Responsibilities

• 1. Opportunity Qualification
  • Engage with region / customers to understand business objectives, challenges, data maturity, and transformation priorities.
  • Lead discovery workshops, assessments, and discussions across business and technology stakeholders.
  • Identify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services.
  • Design end-to-end Data & AI solutions encompassing:
    • Data Platforms
    • Modern Data Warehouses
    • Data Lakes and Lakehouse Architectures
    • Business Intelligence & Analytics
    • AI/ML Platforms
    • Data Governance & Data Quality
    • DataOps & MLOps
  • Define target-state architectures, operating models, roadmaps, and implementation approaches.
  • Create scalable, secure, resilient, and cost-effective cloud-native architectures.
• 3. RFP Response & Solution Development
  • Lead solution development for RFPs, RFIs, proposals, and customer presentations.
  • Develop solution narratives, effort estimations, assumptions, risks, and transition strategies.
  • Collaborate with delivery teams to create commercially viable and technically feasible solutions.
  • Contribute to pricing models, resource plans, and service definitions.

Core Technical Expertise

• Data Warehouse
• Lakehouse Architectures
• Enterprise Data Platforms
• Enterprise Reporting
• Dashboard Strategy
• Data Storytelling

Artificial Intelligence & Machine Learning

• Machine Learning Lifecycle
• Cognitive Services

Platforms and ecosystems include Azure ML, AWS SageMaker, Databricks, Palantir, TensorFlow and Scikit-learn capabilities reflected in current Fujitsu Data & AI solutions.

DataOps & MLOps

• CI/CD for Data Pipelines
• Data Observability
• Data Reliability Engineering
• Pipeline Automation

AWS

GCP

• Vertex AI

Modern Data Platforms

Success Metrics

• Win Rate
• AI & Data Services Solutions Quality in deals