AI Architect with Healthcare Background

Role:AI Architect with Healthcare Background
Location: Atlanta,GA
Duration: contract

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.

Healthcare Domain Expertise

• Experience working with Electronic Health Records (EHR/EMR) systems such as Epic, Cerner, or Meditech.
• Strong understanding of healthcare interoperability standards including HL7, FHIR, CDA, and DICOM.
• Knowledge of healthcare regulations including HIPAA, HITECH, and data privacy/security best practices.
• Experience with clinical data, claims data, population health, or value-based care initiatives.

Preferred Skills

• Experience with Azure OpenAI, OpenAI APIs, Google Vertex AI, or Amazon Bedrock.
• Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
• Experience with data engineering platforms such as Databricks, Snowflake, Spark, or Kafka.
• Familiarity with DevOps, CI/CD, Infrastructure as Code (Terraform), and monitoring tools.
• Strong communication, leadership, and stakeholder management skills.

Preferred Certifications

• AWS Certified Solutions Architect
• Microsoft Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• Healthcare-related certifications (preferred)

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.