Solution Architect / Practice Lead Retail Digital Commerce &

- GenAI.

Work Location : Hyderabad / Chennai.

About the Role :

We are looking for a Solution Architect / Practice Lead Retail Digital Commerce &

- GenAI to join our Retail business unit. 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. The ideal candidate will bring strong experience in enterprise architecture, Java / microservices, cloud-native solutioning, and retail commerce, with practical exposure to GenAI / LLM-based applications such as RAG, AI assistants, workflow automation, or agent-based prototypes. This is a hands-on architecture and consulting role. The person should be comfortable shaping ideas into proposals, building POCs with engineering teams, presenting to client stakeholders, and converting innovation initiatives into production-ready engagements.

Must-Have Skills :

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.

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.

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.

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.

Candidate Profile We Are Looking For :

- 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.





- Cloud / Microservices Solution Architect with retail domain exposure and recent GenAI hands-on experience.
- Pre-sales Solution Architect with robust 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.

Required Experience :

- 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.

Note :

- We do not expect long-tenured GenAI experience.
- Practical hands-on exposure to LLM-based solutioning over the last 1224 months is sufficient if the candidate has strong architecture fundamentals.

Key Responsibilities :

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, implementation approaches, and delivery assumptions.
- Review technical feasibility, identify risks, and guide teams on pragmatic design choices.

GenAI / AI-Led Solutioning :

- Lead solutioning for GenAI-enabled use cases such as conversational assistants, knowledge search, workflow automation, store associate enablement, customer service automation, and operational intelligence.
- Work with engineering teams to build and refine POCs using LLMs, RAG patterns, prompt engineering, vector search, APIs, and enterprise data sources.
- Evaluate where GenAI adds business value and where deterministic/rules-based approaches are more appropriate.
- Support responsible AI considerations such as access control, grounding, observability, evaluation, and cost management.

Pre-Sales &

- Proposal Support :
- Partner with sales, account teams, delivery leaders, and practice teams to shape proposals,



solution narratives, demos, and commercial models.
- Participate in discovery calls, client workshops, technical deep-dives, and executive presentations.
- Prepare solution decks, estimates, assumptions, implementation roadmaps, and proposal responses.
- Help convert early-stage opportunities and POCs into structured delivery engagements.

Practice &

- Accelerator Development :
- Contribute to reusable accelerators, reference architectures, demo assets, case studies, and internal capability-building initiatives.
- Mentor engineers and consultants across digital commerce, cloud, and AI-led solution areas.
- Run or support internal practice cadences to track solution progress, reusable assets, technical learnings, and upcoming opportunities.
- Collaborate with cross-functional teams across delivery, infrastructure, data, cloud, UX, marketing, and sales.

Delivery Governance &

- Technical Leadership :
- Provide architecture oversight during project initiation and early delivery phases.
- Support teams on environment setup, integration dependencies, CI/CD, cloud deployment, security considerations, and production-readiness.
- Work with delivery managers to ensure technical assumptions, scope boundaries, and risks are clearly understood.
- Help troubleshoot architecture-level blockers during POCs and early implementation cycles.

Good-to-Have Skills :

- Experience with agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
- Experience with AI observability, evaluation frameworks, or AgentOps concepts.
- Exposure to Snowflake, Databricks, Power BI, Looker, or enterprise data platforms.
- Knowledge of MACH architecture, composable commerce, headless commerce, or API-first commerce platforms.
- Experience building reusable accelerators, internal IP, demos, or technical whitepapers.
- Exposure to pricing models for cloud, AI tokens, infrastructure, or managed services.
- Experience working with US or global retail clients.

What Success Looks Like :

- Lead solutioning for multiple retail technology and GenAI opportunities.
- Build credibility with client stakeholders through practical architecture and business-value framing.
- Support conversion of POCs into production engagements.
- Strengthen reusable accelerators and reference architectures.
- Mentor teams and improve internal capability around GenAI-enabled retail solutions.
- Partner effectively with sales, delivery, cloud, data, and engineering teams.

Why Join Us :

- This role offers the opportunity to work at the intersection of retail transformation, digital commerce, cloud architecture, and GenAI adoption.
- You will help shape next-generation solutions for enterprise retailers while contributing to reusable platforms, accelerators, and consulting capabilities.
- You will work with senior leaders, architects, sales teams, and delivery teams to solve real business problems.

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