Pre-Sales Solution Architect

Fujitsu Limited; Chennai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fujitsu Limited in India is seeking a Pre-Sales Solution Architect for Data & AI to shape and position data platforms, AI/ML, and cloud solutions for global clients. You will collaborate with Sales, Industry Leads, Delivery Teams, and Partners to qualify opportunities, respond to RFPs, and articulate business value.

The role involves designing end-to-end Data & AI solutions, developing target architectures, and supporting pricing and service definitions. Relocation: Yes; Visa: No.

Qualifications

• Must have demonstrable experience designing data & AI solutions for enterprise clients.

Responsibilities

• Lead customer discovery, assessments, and solution workshops.

Skills

Data & AI domain

Solution architecture

Customer discovery

RFP response

Stakeholder alignment

Tools

Azure Synapse

Databricks

Snowflake

Azure Data Factory

Power BI

Job description

Job Location: Bangalore, Chennai, Noida, Pune

Location Flexibility: Multiple Locations in Country

Req Id: 12805

Posting Start Date: 11/3/26

At Fujitsu, we've been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities. Explore our internal positions and join us in shaping a brighter future. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.

Pre-Sales Solution Architect

Role Summary

The Pre-Sales Solution Architect for Data & AI is a customer-facing role responsible for shaping, designing, and positioning Data, Analytics, AI/ML, DataOps, and Cloud Data Platform solutions for global customers. The role works closely with Sales, Industry Leads, Delivery Teams, Technology Partners, and Global Solution Architects to qualify opportunities, develop solutions, respond to RFPs, and articulate the business value of Data & AI transformation.

Key Responsibilities

• Lead customer discovery, assessments, and solution workshops.
• Identify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services.
• Design end-to-end Data & AI solutions covering Data Platforms, Data Warehouses, Lakehouses, Data Integration, Analytics, AI/ML, Data Governance, DataOps, and MLOps.
• Develop target-state architectures, roadmaps, operating models, and implementation approaches.
• Lead solution development for RFPs, RFIs, proposals, and customer presentations.
• Create solution narratives, estimations, assumptions, risks, and transition strategies.
• Collaborate with delivery teams to develop commercially viable and technically feasible solutions.
• Support pricing models, resource plans, and service definitions.

Technical Expertise

Data Platforms & Engineering

• Data Lakes, Data Warehouses, Lakehouse Architectures
• Enterprise Data Platforms, Data Mesh, Data Fabric
• Data Integration, ETL/ELT
• Data Modelling and Master Data Management

Analytics & BI

• Enterprise Reporting
• Self-Service Analytics
• Operational Intelligence
• Dashboard Strategy
• KPI Frameworks
• Data Storytelling

AI/ML

• Machine Learning Lifecycle
• Predictive Analytics
• Data Science
• MLOps
• AI Governance and Responsible AI
• Generative AI and AI Agents
• Cognitive Services

DataOps & MLOps

• CI/CD for Data Pipelines
• Data Observability
• Pipeline Automation
• DevSecOps Integration
• Monitoring and Continuous Improvement

Cloud & Data Platforms

Microsoft Azure: Azure Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric, Azure ML, Purview

AWS: Glue, Redshift, S3

GCP: BigQuery, Dataflow, Vertex AI

Modern Data Platforms: Snowflake, Databricks, Cloudera, Palantir, Talend

Success Metrics

• Win Rate
• AI & Data Services Solution Quality
• Competitive Pricing
• Team Collaboration
• Customer Satisfaction

Relocation Supported: Yes

Visa Sponsorship Approved: No

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.