Enterprise Architect

Tata Consultancy Services Limited

United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Data Architecture Systems Development Life Cycle Cloud Services Azure Machine Learning Data Streaming Google Cloud Enterprise Software Applications

+14 more

Spring Cloud Multi-Cloud Kubernetes Information Technology Data Analytics Apache Kafka Machine Learning Operations Virtual Agents Api Design Api Gateway Oracle Cloud Infrastructure Devsecops Docker Microservices

Job description

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 (Google Cloud Platform, 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

Requirements

Containers & orchestration (Docker, Kubernetes)
API gateways and integration platforms
Event streaming (Kafka / PubSub)
Define and enforce engineering best practices, DevSecOps, CI/CD pipelines, * 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 (Google Cloud Platform, 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: