AI Architect

South Florida Community Care Network LLC•Sunrise, FL

3h•$100,000 - $110,000•Hybrid

About The Position

The AI Architect will be responsible for designing, implementing, and managing AI systems crucial to the organization’s operations. This role includes ensuring the performance, availability, and security of these systems. The AI Architect will work closely with the development team and other business units to align AI solutions with organizational needs and regulatory standards, particularly within the health plan sector.

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field required.
At least 5 years of experience in AI/ML system development and management.
Minimum 3 years of experience with AI architecture design, model deployment, and data engineering.
Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Azure AI Services).
Strong familiarity with cloud services such as Microsoft Azure or Amazon Web Services (AWS).
Proficiency in machine learning algorithms, data integration, and model lifecycle management.
Experience with ETL processes and data pipelines.
Strong problem-solving and communication skills.
Ability to work both independently and as part of a team.
Python, R, or similar ML/AI programming languages
SQL and database management systems
Cloud AI/ML platforms (Azure AI, AWS SageMaker)
API development and integration (REST, GraphQL)
Data visualization and reporting tools
Proficient with Microsoft Office Suite or related software.

Nice To Haves

Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or related field.
Relevant professional certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Engineer, Google Professional ML Engineer).
Experience with large language models (LLMs), generative AI, and prompt engineering.
Experience with cloud-native AI/ML services (Azure OpenAI, Azure Machine Learning, AWS SageMaker).
Experience in a healthcare or health plan environment with understanding of HIPAA compliance requirements.
Understanding of ASC X12 standards for healthcare electronic data interchange such as: Medical Claims Interface – 837, Benefit Enrollment – 834, Claim File – 999, Claim Status – 276/277
Experience with CI/CD pipelines and DevOps practices for AI/ML model deployment (MLOps).
Familiarity with responsible AI principles, bias detection, and model explainability techniques.
Experience with vector databases, RAG (Retrieval-Augmented Generation) architecture, and semantic search.
Knowledge of Natural Language Processing (NLP) and computer vision applications.

Responsibilities

Design, implement, and manage AI systems that meet both performance and security standards.
Analyze organizational needs and maintain AI solutions to support these requirements.
Ensure AI system performance, availability, and security are maintained at all times.
Develop and maintain AI architectures and data structures that align with business needs.
Implement backup and recovery plans to ensure data integrity and availability.
Work closely with the development team to optimize AI model usage and improve performance.
Provide technical support and guidance to resolve AI system issues and malfunctions.
Collaborate with other business units to understand future needs and adapt AI strategies accordingly.
Conduct regular security audits and compliance checks, particularly focusing on health plan data protection regulations such as HIPAA.
Prepare and present reports on AI status, performance, and strategic development to senior management.
Evaluate and recommend emerging AI technologies, frameworks, and tools for organizational adoption.
Develop AI governance policies, standards, and best practices to ensure responsible AI usage across the organization.
Mentor and guide development team members on AI/ML concepts, tools, and implementation patterns.
Design and oversee data pipelines and ETL processes to support AI/ML model training and deployment.
Performs other related duties as assigned.