AEG Vision · 6 hours ago
Director, Artificial Intelligence
Dallas, TX
Full-time
Onsite
Lead/Staff, Director/Executive
$170K/yr - $180K/yr
5+ years expAEG Vision is a rapidly scaling healthcare organization seeking a Director of Artificial Intelligence to lead the architecture and implementation of AI solutions across the enterprise. This role involves designing AI architecture, building and deploying models, and guiding teams to enhance patient engagement and operational efficiency.
Health CareHome Health CareHospitalMedicalMedical Device
Responsibilities
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
Model Development & Implementation
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
Cross-Functional Collaboration
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
Governance, Ethics & Compliance
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
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or related field required
5+ years of experience in software engineering, data science, or AI/ML roles
Demonstrated experience building and deploying AI systems in production
Strong programming background (Python required; SQL required)
Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Hands-on experience with data engineering tools and pipelines
Hands-on experience with cloud AI/ML services
Experience designing AI architectures that integrate with enterprise systems
Working knowledge of APIs and microservices
Working knowledge of data security and privacy
Working knowledge of MLOps and model lifecycle management
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
Preferred
Master's degree or PhD preferred but not required with equivalent experience
Experience in healthcare, health tech, SaaS, or highly regulated environments preferred
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
Company
AEG Vision
AEG Vision empowers doctors to deliver patient care and service by leveraging eye care industry best practices.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$89.39MKey Investors
J.P. Morgan Asset Management
2020-02-26Series Unknown· $1.08M
2019-06-21Seed· $0.18M
2019-01-07Series Unknown· $58.82M
Leadership Team
Eric Anderson
CEO
Satish Dave
Chief Information Officer
Recent News
2025-12-09
Company data provided by crunchbase