AI & Data Solution Architect

Quick Facts

• Role: AI & Data Solution Architect (client-facing)

• Focus: AI, Data, Analytics, Cloud, and Application Development solution design

Description

As an AI & Data Solution Architect, you help clients define their transformation journey by designing end-to-end solution concepts across AI, data platforms, analytics, cloud technologies, and application development. You support sales engagements with discovery workshops, solution presentations, proposals, and technical discussions, and you translate business objectives into scalable technology roadmaps. You also collaborate to validate feasibility and participate in RFP and bid processes, ensuring a smooth transition from pre-sales to delivery.

Responsibilities

• Analyze client business challenges and identify where AI, data, analytics, and software solutions can create measurable business value

• Design high-level, end-to-end solution concepts across AI, Data, Analytics, Cloud, and Application Development

• Support pre-sales through discovery workshops, solution presentations, proposals, and technical discussions

• Act as a trusted advisor translating business objectives into technology roadmaps and scalable architectures

• Collaborate with Data & AI, Engineering, and Delivery teams to validate feasibility and implementation approaches

• Participate in RFP and bid processes (estimation, pricing, offer preparation)

• Ensure smooth handover from pre-sales to delivery via effective knowledge transfer

Requirements

• 5+ years of experience as a Solution Architect, Data Architect, AI Architect, Technical Consultant, Pre-Sales Consultant, or similar client-facing technology role

• Strong understanding of modern Data & AI ecosystems including data platforms, analytics, machine learning, generative AI, and cloud services

• Experience designing business and technology solutions for enterprise clients

• Ability to connect technology capabilities with business outcomes and communicate with both technical and non-technical stakeholders

• Experience supporting pre-sales activities such as workshops, RFPs, proposals, and client presentations

• Excellent communication, relationship-building, and stakeholder management skills

• Fluent English (C1 level)

Benefits

• Career growth with access to professional development through partnerships with Microsoft, AWS, Snowflake, Salesforce, and more

• Project diversity across global clients and sectors

• Flexibility with adaptable working hours and remote/hybrid work options

• Benefits package through Worksmile (medical and life insurance, sports card, veterinary care, and more)

• Engaging community via team-building events, hackathons, and CSR initiatives

• Performance rewards with an attractive bonus system based on KPIs