About the job Lead AI Engineer
Role : Lead AI & Analytics Engineer
US Remote
Experience:
6-9 years
AI experience is a must (agentic AI, LangChain, RAG, chatbots, etc.) and should clearly demonstrate hands-on projects or at least 1-2 years of direct experience in the domain
Data engineering experience would be good, including orchestration, data modeling, and platforms such as Databricks, Snowflake, or GCP
We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
This is a
hands-on engineering role
focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
Responsibilities
Design, build, and maintain scalable
data pipelines and ETL/ELT workflows
to ingest and transform data from multiple sources
Develop and optimize
batch and near real-time data processing pipelines
for analytics and reporting
Build and maintain
data warehouse and data lake structures
to support business intelligence and analytics use cases
Implement and maintain
data models
that support efficient querying and reporting
Improve performance and scalability of data systems through
query optimization, indexing, and partitioning strategies
Implement
data quality checks, monitoring, and logging
to ensure reliability of data pipelines
Exposure to AI initiatives and experience building data pipelines supporting AI workflows
Work with data architects and engineering teams to implement
scalable data platform designs
Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
Maintain documentation for data pipelines, data models, and data workflows