Director, Artificial Intelligence

Overview

AEG Vision is seeking a Director of Artificial Intelligence to lead the architecture, and hands-on implementation of AI solutions across the enterprise. This role is both strategic and deeply technical—ideal for a leader who can design AI architecture, build and deploy models, and guide teams, not just manage vendors or research.

Location:
Dallas, Texas, USA

Job Type:
Full-time

• Opportunity to define AI strategy from the ground up in a rapidly scaling healthcare organization
• Real-world impact on patient care, clinician experience, and operational efficiency
• Executive visibility and influence
• Balance of innovation, responsibility, and practical execution

• Enhance analytics through deep AI integration with the enterprise data warehouse
• Design and implement AI-enabled analytics solutions that sit natively on top of the enterprise data warehouse
• Partner with Data Engineering and BI teams to embed machine learning, predictive analytics, and advanced forecasting directly into reporting and decision workflows
• Enable self-service and augmented analytics for business users
• Eliminate manual effort across complex back-office workflows through AI-enabled automation
• Identify high-friction, labor-intensive back-office processes suitable for AI-driven automation, including:
  Revenue cycle and accounting workflows;
  Scheduling, capacity management, and exception handling;
  Data reconciliation, validation, and anomaly detection;
  Operational reporting and administrative processes
• Translate business problems into AI-driven solutions with measurable ROI
• Continuously evaluate, pilot, and govern external AI platforms and vendors:
  Own the ongoing evaluation and governance of external AI tools, platforms, and vendors

• Personally contribute to:
  Prototyping AI/ML models;
  Model selection and evaluation;
  Prompt engineering and orchestration for LLM-based systems
• Establish best practices for MLOps, model monitoring, versioning, and retraining

• Partner closely with Field Ops, Marketing, RCM, Accounting and Eyecare Operations
• IT, Infrastructure, and Security teams
• Product, Data, and Engineering teams
• Act as a translator between business and technical stakeholders
• Guide responsible AI usage, governance, and compliance in healthcare settings

• Ensure AI solutions adhere to HIPAA and healthcare data privacy requirements
• Security and access control best practices
• Ethical AI principles and explainability where required
• Define policies for data usage, model validation, and risk management

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field required
• Master's degree or PhD preferred but not required with equivalent experience

• 5+ years of experience in software engineering, data science, or AI/ML roles
• Demonstrated experience building and deploying AI systems in production
• Experience in healthcare, health tech, SaaS, or highly regulated environments preferred

• Strong programming background (Python required; SQL required)
• Hands-on experience with machine learning frameworks (Tensor Flow, PyTorch, scikit-learn)
• Data engineering tools and pipelines
• Cloud AI/ML services
• Experience designing AI architectures that integrate with enterprise systems
• Working knowledge of APIs and microservices
• Data security and privacy
• MLOps and model lifecycle management

• Experience with LLMs, generative AI, and retrieval-augmented generation (RAG)
• Experience with optimization, forecasting, or scheduling algorithms
• Familiarity with medical imaging, clinical data, or EHR integrations
• Experience evaluating and managing AI vendors vs in-house build decisions

• Hands-on builder mindset with architectural depth
• Strong communicator able to explain AI concepts to non-technical audiences
• Pragmatic, ROI-focused approach to AI adoption
• Comfortable operating in a fast-growing, multi-site healthcare environment
• High integrity and respect for patient data and clinical workflows