Job description

Must Have Technical/Functional Skills Overview • Enterprise Architect for client. The portfolios include Store, Digital, Supply Chain, Merchandising, Marketing, Data Analytics. Key Responsibilities • Define and drive enterprise architecture strategy aligned with business vision and digital transformation goals • Design scalable, resilient, and secure enterprise applications across modern architectures (microservices, event-driven, API-first) • Lead architecture design across multi-cloud / hyperscaler platforms (GCP, Azure, OCI) • Establish architecture governance frameworks, standards, and best practices. Reviews adherence, evaluations and continuously updates standards. • Understand and contribute to Data Architecture. Roles & Responsibilities Cloud & Modernization • Architect cloud-native applications and migration strategies for enterprise workloads • Lead modernization initiatives including legacy transformation, containerization, and platform engineering • Drive adoption of cloud services (compute, storage, data, AI/ML services) effectively across enterprise • Understand and contribute to Data Architecture. AI-led Enterprise Solutions • Architect and implement AI-driven enterprise solutions (GenAI, Agentic AI, ML pipelines) • Integrate AI capabilities across SDLC (design, development, testing, operations) • Drive use-case identification and industrialization of AI solutions across business functions • Ensure responsible AI practices, governance, and ethical implementation Technology Stack & Engineering Excellence • Strong expertise in Java ecosystem (Spring Boot, Microservices, API development) • Experience with: • Containers & orchestration (Docker, Kubernetes) • API gateways and integration platforms • Event streaming (Kafka / PubSub) • Define and enforce engineering best practices, DevSecOps, CI/CD pipelines Required Qualifications • 20+ years of IT experience with 8+ years in architecture roles • Retail domain experience will be a good nice-to-have. • Proven experience in multi-cloud architecture (GCP, Azure, OCI) • Strong hands-on experience in Java-based enterprise application design • Experience in AI/ML / GenAI solutions and integration into enterprise systems • Strong experience in solutioning, proposals, and customer engagement Certifications: • Google Professional Cloud Architect • Exposure to: • Platform engineering • SRE / Observability architecture • API monetization and digital ecosystems • Experience in large-scale transformation programs TCS Employee Benefits Summary: • Discretionary Annual Incentive. • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. • Family Support: Maternal & Parental Leaves. • Insurance Options: Aut& Home Insurance, Identity Theft Protection. • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. • Time Off: Vacation, Time Off, Sick Leave & Holidays. • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-KR3 Salary Range-$120,000-$160,000 a year </div

Requirements

Must-haves

Must Have Technical/Functional Skills
Enterprise Architect for client. The portfolios include Store, Digital, Supply Chain, Merchandising, Marketing, Data Analytics.
Define and drive enterprise architecture strategy aligned with business vision and digital transformation goals
Design scalable, resilient, and secure enterprise applications across modern architectures (microservices, event-driven, API-first)
Lead architecture design across multi-cloud / hyperscaler platforms (GCP, Azure, OCI)
Establish architecture governance frameworks, standards, and best practices. Reviews adherence, evaluations and continuously updates standards.
Understand and contribute to Data Architecture.
Roles & Responsibilities
Cloud & Modernization
Architect cloud-native applications and migration strategies for enterprise workloads
Lead modernization initiatives including legacy transformation, containerization, and platform engineering
Drive adoption of cloud services (compute, storage, data, AI/ML services) effectively across enterprise
Understand and contribute to Data Architecture.
AI-led Enterprise Solutions
Architect and implement AI-driven enterprise solutions (GenAI, Agentic AI, ML pipelines)
Integrate AI capabilities across SDLC (design, development, testing, operations)
Drive use-case identification and industrialization of AI solutions across business functions
Ensure responsible AI practices, governance, and ethical implementation
Technology Stack & Engineering Excellence
Strong expertise in Java ecosystem (Spring Boot, Microservices, API development)
Containers & orchestration (Docker, Kubernetes)
API gateways and integration platforms
Event streaming (Kafka / PubSub)

Nice-to-haves

Retail domain experience will be a good nice-to-have.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apigcpazureaimljavadockerkubernetesci/cd

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave