Technical Architect

Job Description: Technical Architect

Location: Hyderabad / Pune –

Hybrid

• Department: Retail
• Experience: ~15 years overall,
• including 6–8 years in an Architect-level role

About

• the Role
• We're looking for an Architect to define and govern
• the technology strategy that connects business goals to IT execution within our
• Retail domain. You'll own the big picture — how applications, data,
• infrastructure, security, and AI capabilities fit together across the
• organization — while guiding teams toward consistent, scalable, and
• future-proof solutions, including how AI and GenAI are woven into the retail
• technology roadmap.

Key

Responsibilities

• •Define and
• maintain the Technical architecture vision, principles, and roadmap aligned
• with retail business strategy.

•Own

architecture across domains: business, application, data,

technology/infrastructure, and security (TOGAF-style layers).

•Evaluate

and select technology platforms, frameworks, and tools; maintain the technology reference stack.

•Lead

architecture reviews and governance boards; ensure solution designs align with

Org standards and avoid duplication/tech debt.

•Partner

• with business stakeholders (CxOs, product owners) to translate retail business
• capabilities (eCommerce, POS, supply chain, order management, inventory) into
• technology roadmaps.

•Guide

cloud strategy and migration (AWS/Azure/GCP), including hybrid and multi-cloud

considerations.

•Define

integration patterns (APIs, event-driven, messaging) across retail systems and

third-party platforms (payment gateways, logistics, POS, CRM).

•Assess

build vs. buy decisions and lead vendor/technology evaluations.

•Drive

modernization of legacy retail systems and define migration strategies with

minimal business disruption.

•Establish

architecture documentation standards (reference architectures, ADRs, capability

maps).

•Mentor

solution architects, tech leads, and senior engineers; act as a technical

escalation point.

•Ensure

• architecture decisions account for scalability, security, compliance, cost, and
• operational resilience — particularly around peak retail events (e.g., sales
• seasons, high-traffic periods).

•Stay

• current on emerging technologies and assess their applicability to the retail
• business.
• •Define the
• Org AI/GenAI strategy — identifying high-value use cases across the
• retail value chain (personalization, demand forecasting, conversational
• commerce, supply chain optimization, fraud detection).

•Establish

• reference architectures for integrating AI/ML and GenAI capabilities (LLMs, RAG
• pipelines, recommendation engines) into existing retail platforms and data
• ecosystems.

•Partner

with data science and analytics teams to ensure AI initiatives are built on

governed, scalable data architecture.

•Define

responsible AI guardrails — data privacy, model governance and

compliance — as part of the Org architecture standards.

•Evaluate

AI platform and vendor choices (cloud-native AI services, LLM providers, MLOps

tooling) as part of build-vs-buy decisions.

Required

•Bachelor's/Master's

• degree in Computer Science, Engineering, or related field.
• •~15 years
• in software/IT with 6–8 years in an architecture role.

•Proven

experience designing architectures for large-scale, distributed, multi-system

environments, ideally within Retail.

•Strong

knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native architecture

patterns.

•Experience

with microservices, APIs, event-driven architecture, and integration platforms.

•Familiarity

with architecture frameworks (TOGAF, Zachman, or similar).

•Strong

understanding of data architecture, security architecture, and DevOps/CI-CD

practices.

•Experience

driving legacy modernization and cloud migration initiatives.

•Excellent

stakeholder management and communication skills — able to present to both

engineers and executives.

•Working

knowledge of AI/ML concepts and how they integrate into architecture

— model serving, data pipelines for ML, and AI-driven application patterns.

Preferred

• •TOGAF or
• relevant cloud architect certification (AWS Solutions Architect Professional,
• Azure Solutions Architect Expert).

•Prior

experience in Retail — eCommerce platforms, POS systems, inventory/order

management, or supply chain technology.

•Background

in domain-driven design (DDD) and integration patterns.

•Hands-on

exposure to GenAI/LLM-based solutions (e.g., copilots, chatbots, RAG-based

search) deployed in a production setting.

•Familiarity

with MLOps practices and AI governance/data governance frameworks.

•Experience

with AI-driven retail use cases such as personalization engines, demand

forecasting, or conversational commerce.

•Certifications

in AI/ML on cloud platforms (e.g., AWS Certified Machine Learning, Azure AI

Engineer) are a plus.