AI Automation & Data Engineer
Role summary
CareRite Centers is seeking an AI Automation & Data Engineer to design and deploy intelligent automation solutions for financial reporting, forecasting, and operational efficiency. This high-impact role involves modernizing systems and driving data-powered decisions using advanced AI technologies. The engineer will architect, build, and optimize AI-driven workflows, transform data into automated solutions, and integrate AI with enterprise platforms. Strong technical skills in Python, SQL, and AI/LLM APIs are required, along with business acumen and communication abilities. Preferred qualifications include experience with cloud platforms and BI tools, particularly in healthcare or multi-site operations.
# 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