The role will work closely with business, product, engineering, data science, cloud, cybersecurity and enterprise architecture teams to translate business requirements into robust data and AI solution architectures, ensuring that solutions are scalable, reusable, governed and production-ready.

Key Responsibilities

1. Data Architecture

* Design end-to-end enterprise data architectures supporting analytical, operational and AI workloads.
* Develop data architecture for data lakes, lakehouses, data warehouses and data platforms.
* Define data models, data domains, data products and data flows.
* Design solutions for structured, semi-structured and unstructured data.
* Architect batch, real-time and event-driven data pipelines.
* Define data ingestion, integration, transformation and consumption patterns.
* Design APIs and data-sharing mechanisms for secure data consumption.
* Establish data lineage, metadata and data quality requirements.




* Support modernisation of legacy data architectures and migration to cloud platforms.

2. AI Architecture

* Design end-to-end architectures for AI/ML, Generative AI and intelligent decisioning solutions.
* Translate AI use cases into scalable production architectures.
* Design the complete AI lifecycle:

Data → Feature Engineering → Model → Deployment → Monitoring → Feedback → Continuous Improvement

* Define architecture for machine-learning platforms, model serving and inference.
* Design architectures for predictive analytics, recommendation engines, decision engines and intelligent automation.
* Work with data scientists and ML engineers to operationalise models.

If this chance aligns with your skills and career aspirations, kindly share your updated resume at [email protected]

📌 Data & AI Architect (Mumbai)
🏢 Generali Central Life Insurance
📍 Mumbai