AI Automation & Data Engineer
Role summary
CareRite Centers is seeking an AI Automation & Data Engineer to design and implement intelligent automation solutions for financial reporting, forecasting, and operational efficiency. This high-impact role involves working with executive leadership to modernize systems and drive data-powered decisions using AI. The engineer will architect, build, and optimize AI-driven workflows, integrate them with enterprise systems, and transform data into scalable solutions. Key responsibilities include developing tools with LLMs, optimizing SQL queries and data pipelines, and ensuring data governance and security. The role requires strong Python and SQL skills, experience with AI/LLM APIs and data engineering frameworks, and the ability to communicate technical concepts to senior executives.
# AI Automation & Data Engineer
CareRite Centers
CareRite Centers is seeking a forward-thinking AI Automation & Data Engineer to design and deploy intelligent automation solutions that enhance financial reporting, forecasting, and operational efficiency across our enterprise.
This is a high-impact role working closely with executive leadership to modernize systems and drive data-powered decision-making through advanced AI technologies.
## Position Overview
The AI Automation & Data Engineer will architect, build, and optimize AI-driven workflows that integrate with enterprise systems. You will transform complex financial and operational data into automated, scalable solutions that create measurable business impact.
This role requires a strong technical foundation, business acumen, and the ability to translate organizational needs into robust AI-enabled systems.
## AI Automation & Data Engineer Key Responsibilities
- Design and implement AI-powered automation workflows for finance and operations
- Build and deploy tools leveraging LLMs, embeddings, and structured data
- Develop and optimize complex SQL queries and scalable data pipelines
- Integrate AI solutions with core enterprise platforms (ERP, EMR, billing, payroll)
- Collaborate with leadership and stakeholders to translate business requirements into technical solutions
- Improve reporting accuracy, forecasting capabilities, and operational analytics
- Ensure best practices in data governance, scalability, and security
## AI Automation & Data Engineer Required Qualifications
- Strong proficiency in Python and SQL
- Experience working with AI/LLM APIs and data engineering frameworks
- Experience handling structured financial and operational datasets
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts clearly to senior executives
## Preferred Qualifications
- Experience integrating AI within enterprise systems
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with BI or analytics platforms
- Background in healthcare or multi-site operations environments
## What We Offer
- Competitive compensation
- Executive-level visibility and impact
- Opportunity to build enterprise AI infrastructure
- Flexible work environment
- Growth-focused, innovation-driven culture
If you are passionate about leveraging AI to create meaningful operational transformation, we encourage you to apply today.
An Equal Opportunity Employer