Job Summary- AWS AI Data Architect (8 Years Experience) Position: AWS AI Data Architect

Experience: 8 Years

Location: Noida / Bengaluru / Hyderabad / Chennai / Pune

We are seeking an experienced AWS AI Data Architect with strong expertise in AWS Cloud, Artificial Intelligence/Machine Learning, Databricks, Python, and PySpark. The ideal candidate will be responsible for designing, architecting, and implementing scalable AI-driven data platforms, up-to-date data lakehouse solutions, and advanced analytics architectures. The candidate should possess hands-on experience in cloud-native data engineering, generative AI solutions, MLOps, and enterprise-scale data modernization initiatives.

Key ResponsibilitiesData Architecture & Design

- Design and implement enterprise-scale data architectures on AWS.
- Architect scalable Data Lake, Lakehouse, Data Warehouse, and AI/ML platforms.
- Define data governance, security, metadata management, and compliance frameworks.
- Design batch, streaming, and real-time data processing solutions.

AI & Generative AI

- Build and deploy AI/ML solutions using AWS AI services.
- Develop Generative AI applications utilizing AWS Bedrock, Foundation Models, and LLMs.
- Design Retrieval-Augmented Generation (RAG) architectures.
- Implement Vector Databases, Embedding Models, and Prompt Engineering frameworks.
- Collaborate with Data Scientists and ML Engineers to operationalize AI models.

Databricks & Data Engineering

- Design and implement Databricks Lakehouse architecture.




- Develop scalable ETL/ELT pipelines using PySpark.
- Optimize Delta Lake performance and data processing workloads.
- Implement Unity Catalog, Data Lineage, and Data Governance solutions.
- Develop reusable frameworks for ingestion, transformation, and orchestration.

AWS Cloud Platform Architect solutions leveraging:

- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon EMR
- Amazon Redshift
- AWS Step Functions
- Amazon Athena
- Amazon Kinesis
- Amazon SageMaker
- AWS Bedrock
- IAM
- CloudWatch

MLOps & DevOps

- Implement CI/CD pipelines for Data and AI workloads.
- Build MLOps frameworks for model deployment and monitoring.
- Automate infrastructure using Terraform or CloudFormation.
- Monitor and optimize cloud costs, performance, and security.

Required Skills

- AWS
- AWS Data Lake Architecture
- AWS Glue
- Amazon

Other Requirements

- null

Additional Key Responsibilities

1. To architect, design, and develop [through team] solution for product/sustenance delivery.
2. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements.
4. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.

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