Senior AI Engineer with AWS and Databricks

Job description

We are looking for a hands-on Senior AI Engineer with strong production experience on AWS and Databricks to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products using Databricks-native capabilities and has hands-on ownership of AI agents and Gen AI solutions in production environments.

Responsibilities

- Design, build, and deploy AI/ML solutions across the full software development lifecycle

- Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases

- Own AI solutions end-to-end, from model development and deployment to monitoring and support

- Integrate AI capabilities into business applications and data products

- Work with large-scale data to build and support production AI workloads

- Optimize AI models and pipelines for performance, scalability, and cost efficiency

- Manage model governance, versioning, and lifecycle using MLflow

- Leverage Databricks-native capabilities, including Feature Store, Model Serving, Lakehouse AI, and Unity Catalog

- Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements

- Monitor and maintain AI solutions in production, ensuring reliability and performance

Requirements

- 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions

- Expertise in AI agents development and Gen AI solutions development

- Proficiency in Amazon Web Services and Databricks

- Skills in MLflow, Feature Store, and Model Serving

- Knowledge of Lakehouse AI and Unity Catalog

- Background in integrating AI capabilities into business applications and data products

- Understanding of large-scale data processing and production AI workload management

- English proficiency at B2 level or higher

Nice to have

- Familiarity with AWS Bedrock