AI Architect

Role: AI Architect
Location: Atlanta, GA Onsite
Job Summary
We are seeking an experienced AI Architect with a strong healthcare background to design, develop, and implement enterprise-grade AI and Machine Learning solutions that improve clinical, operational, and business outcomes. The ideal candidate will have expertise in AI/ML technologies, cloud platforms, healthcare interoperability standards, and regulatory compliance, with experience delivering AI solutions in healthcare environments. Key Responsibilities

• Design and implement scalable AI/ML architectures for healthcare applications.
• Collaborate with clinical, business, and IT stakeholders to identify AI use cases and solution strategies.
• Develop AI-powered solutions for clinical decision support, predictive analytics, medical imaging, patient engagement, and operational efficiency.
• Build and deploy Generative AI, NLP, and Large Language Model (LLM) solutions for healthcare workflows.
• Design data pipelines for structured and unstructured healthcare data.
• Integrate AI solutions with EHR/EMR systems and healthcare applications.
• Ensure AI solutions comply with healthcare security, privacy, and regulatory standards.
• Establish MLOps processes for model deployment, monitoring, governance, and lifecycle management.
• Evaluate emerging AI technologies and recommend best practices.
• Lead architecture reviews, proof-of-concepts, and enterprise AI initiatives.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Healthcare Informatics, or a related field.
• 8+ years of experience in software engineering, AI/ML, cloud architecture, or solution architecture.
• 3+ years of experience architecting AI solutions within the healthcare industry.
• Strong knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
• Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience deploying AI solutions using Kubernetes, Docker, and MLOps tools.

Desired Experience

• 10+ years of IT experience with 5+ years in AI architecture.
• Proven experience leading enterprise AI transformation initiatives in healthcare.
• Experience delivering scalable, secure, and compliant AI platforms for hospitals, health systems, payers, or life sciences organizations.