Staff Engineer - AI

Experience: 8–10 years each

Location: Bengaluru, India | Employment Type: Full-time

About the Role

As a Staff Engineer in Data and AI at Client, you will set the technical standard for data pipeline and AI platform engineering — driving architecture decisions, mentoring engineers, and delivering complex platform capabilities during a period of active platform transition.

Client Data Environment

SQL Server CDC Confluent/RedPanda Redshift (Bronze/Silver/Gold) via DBT. EC2, DynamoDB, AWS Bedrock. Snowflake retiring. ~90% internal data.

Key Responsibilities

• Design and deliver complex data pipelines across Redshift, MSK/RedPanda, DBT, and S3

• Define engineering standards and best practices for the Data and AI platform team

• Lead technical design for AI/ML infrastructure — including AWS Bedrock integrations and Claude-based workflows

• Drive ingestion standardisation and canonical ID resolution as a platform-wide initiative

• Collaborate with ML Engineers on data infrastructure for model training and inference pipelines

• Implement data quality controls and observability across pipelines (Coralogix, Grafana)

• Contribute to PCI DSS-compliant data handling: PAN masking, PII controls, TonicAI integration

• Mentor Lead and Senior Engineers within the team

Required Skills & Experience

• 8–10 years in data engineering or AI platform engineering

• Expert-level experience with AWS data services: EKS, ECS, Lambda, S3, EC2

• Strong hands-on experience with Redshift and medallion/Bronze-Silver-Gold architecture

• Proficiency with DBT for data transformation at scale

• Experience with SQL Server CDC-based ingestion pipelines

• Familiarity with event streaming platforms: Confluent, RedPanda, or Kafka

• Experience building ML-ready data pipelines and feature engineering infrastructure

• Familiarity with AWS Bedrock and GenAI pipeline patterns

• Strong understanding of PCI DSS data handling requirements

• Demonstrated ability to set technical direction and mentor engineers