Artificial Intelligence (AI) Engineer

Description

We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team in Atlanta, Georgia. This is a long-term contract position where you will play a pivotal role in advancing AI initiatives across clinical and business operations. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to collaborate across multiple departments to drive innovative solutions in healthcare.

Responsibilities:
Partner with various departments to identify, design, and implement AI solutions that address clinical, financial, and operational needs.
Evaluate and integrate third-party AI tools and platforms, with a focus on healthcare applications such as NexTech, call center automation, AI-powered scribing, and clinical trial identification.
Develop and support AI applications to enhance patient identification for trials, automate documentation, and improve workflows.
Build and maintain AI-driven dashboards and analytics using tools like Power BI to provide actionable insights for clinical and business teams.
Ensure AI integrations meet scalability, security, and compliance requirements, adhering to healthcare data privacy standards.
Serve as a strategic advisor by proactively identifying opportunities for organizational improvement through AI.
Collaborate with stakeholders across IT and non-IT teams to foster innovation and streamline operations.
Stay updated on industry trends, regulatory standards, and emerging AI technologies relevant to healthcare.
Provide technical leadership and guidance on AI-related projects, ensuring alignment with organizational goals.

Requirements

Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field.
At least 5 years of experience designing and deploying AI/ML solutions, preferably in healthcare or life sciences.
Proficiency with AI tools and frameworks such as TensorFlow, Microsoft Copilot, Gemini, and Claude.
Hands-on experience with clinical systems, large datasets, and EHR systems.
Strong analytical and problem-solving skills, with the ability to manage multiple priorities effectively.
Excellent communication skills, capable of working across technical and non-technical teams.
Familiarity with healthcare data privacy and regulatory requirements.
Proven ability to deliver results in a fast-paced, dynamic environment.

Technology Doesn't Change the World, People Do.

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