Gen AI Solution Architect- Retail/ E-commerce

Gen AI Solution Architect / Practice Lead – Retail Digital Commerce

Work Location:

Hyderabad / Chennai

Aspire Systems (www.aspiresys.com) is a global technology services company that helps enterprises build and modernize digital products through engineering excellence, domain expertise, and customer-centric innovation. With deep capabilities across Digital Engineering, Cloud, Data, AI, Enterprise Applications, and Quality Engineering, Aspire partners with organizations to accelerate business transformation and deliver measurable outcomes.

About the Role

We are looking for a Solution Architect / Practice Lead – Retail Digital Commerce & GenAI to join our Retail business unit (www.aspiresys.com/retail)

This role will anchor solution architecture, pre-sales support, accelerator development, and client-facing consulting across digital commerce, store systems, customer experience, and emerging GenAI-led solutions.

Required Experience

• Overall 12+ years of experience in the IT Services.
• 8+ years in solution architecture, technical leadership, or enterprise application design.
• 5+ years of experience in retail, digital commerce, customer experience platforms, store systems, OMS, loyalty, merchandising, or adjacent domains.
• Practical experience in pre-sales, solution consulting, proposal support, or client-facing architecture discussions .
• Hands-on exposure to GenAI / LLM-based applications through POCs, pilots, internal accelerators, or production implementations.

The right candidate may come from one of these backgrounds:

1. Retail Digital Commerce Architect who has started working on GenAI / AI-led use cases.
2. Cloud / Microservices Solution Architect with retail domain exposure and recent GenAI hands-on experience.
3. Pre-sales Solution Architect with strong technical depth and experience shaping POCs, demos, and proposals.
4. Technical Practice Lead who can combine architecture, client consulting, and team enablement.

• We are not looking for a pure data scientist or research-only AI profile.
• This role needs a practical architect who can take business problems from idea to proposal to POC to production

GenAI / AI Application Exposure

Practical experience in some of the following:

• LLM-based application development using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar.
• RAG / knowledge search patterns.
• Prompt engineering and grounding techniques.
• Vector databases or semantic search.
• AI assistants, copilots, chatbots, workflow automation, or agent-based POCs.
• Basic understanding of LLM evaluation, hallucination risk, access control, and cost considerations.

Retail / Digital Commerce

Experience in at least two of the following areas:

• Digital commerce platforms such as SFCC, commercetools, Adobe Commerce, Shopify Plus, Oracle Commerce, or similar.
• Store systems / POS / associate-facing applications.
• Order management, inventory, loyalty, customer service, or merchandising workflows.
• Search, personalization, product discovery, customer engagement, or commerce integrations.
• Retail data flows involving ERP, CRM, CDP, BI, or data warehouse platforms.

Core Architecture

• Strong understanding of enterprise application architecture.
• Java / Spring Boot / microservices experience.
• REST API design, integration patterns, and cloud-native architecture.
• Experience with at least one major cloud platform — Azure, AWS, or GCP.
• Familiarity with containers, CI/CD, environment planning, and production deployment considerations.

Consulting & Communication

• Ability to conduct discovery conversations and convert business needs into solution options.
• Strong proposal writing, estimation, and presentation skills.
• Ability to explain technology clearly to both technical and business stakeholders.
• Comfortable working with sales, delivery, engineering, and leadership teams.

Key Responsibilities

1. Solution Architecture & Consulting

• Design scalable enterprise solutions across retail digital commerce, store operations, customer service, order management, merchandising, and related retail workflows.
• Translate business problems into practical technology solutions using cloud-native architecture, APIs, microservices, integration patterns, data platforms, and AI/GenAI components.
• Define solution blueprints, architecture diagrams, effort estimates, …