Technical Architect

Job Description: Technical Architect

Location: Hyderabad / Pune Hybrid

Department: Retail

Experience: 15 years overall including 68 years in an Architect-level role

Were looking for an Architect to define and govern the technology strategy that connects business goals to IT execution within our Retail domain. Youll 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.

Bachelors/Masters degree in Computer Science Engineering or related field.

15 years in software/IT with 68 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.