Job Description: Technical Architect

Location: Hyderabad / Pune –
Hybrid

Department: Retail

Experience: ~15 years overall,
including 6–8 years in an Architect -level 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.

•      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.

•      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.

•      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.