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

Qualifications

• 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

Qualifications

• 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.