Job Description

The AI Architect is a senior technical leadership role responsible for defining the architecture, strategy, and enterprise adoption of Small Language Models (SLMs) and advanced Agentic AI solutions. This role provides end-to-end ownership of model design, optimization, and deployment – specifically focused on the Auto-Coding AI Engine. This position will bridge the gap between cutting-edge research and healthcare compliance, ensuring our engine delivers clinical-grade accuracy while mentoring teams and influencing AI strategy across the organization.

Essential Job Functions

• Define and own the enterprise architecture and standards for building solutions using Large Language Model (LLM) and/or Small Language Model (SLM), optimized for accuracy, latency, and cost.

• Architect domain-specific models that translate complex clinical documentation into industry-standard medical codes (ICD-10, CPT).

• Drive high-level decisions for model selection, fine-tuning, compression (quantization/distillation), and inference optimization.

• Align all AI solutions with enterprise security, HIPAA compliance, and "Responsible AI" governance frameworks.

• Lead the design and deployment of ML, DL, and Agentic AI solutions that utilize reasoning frameworks (e.g., Chain-of-Thought).

• Apply deep mathematical and statistical knowledge to optimize model performance and ensure clinical-grade precision.

• Provide architectural governance for traditional ML, deep learning (CNN, RNN, LSTM), and NLP-based systems.

• Architect solutions involving embeddings, transformers, and large-scale language models.

• Lead the fine-tuning of models for complex healthcare use cases and specialty-specific requirements.

• Establish standards for prompt engineering, evaluation metrics, and real-time performance monitoring.

• Architect and govern ML/AI solutions on AWS or Azure platforms.

• Define and enforce CI/CD, model versioning, and lifecycle management to ensure production reliability.

• Act as the expert in Python, scientific computing (TensorFlow, PyTorch), and optimized SQL designs for complex analytical data access.

• Act as the technical mentor for Data Scientists and ML Engineers, fostering a culture of innovation and excellence.

• Lead design reviews and collaborate with product, security, and clinical stakeholders to drive delivery discipline in an Agile environment.

Key Success Indicators/Attributes

• Proven ability to work and collaborate effectively within global, distributed team environment.

• Demonstrated track record as a self-starter with a “go-getter” mindset and hands-on experience delivering scalable, production-grade AI models.

• Maintain 99%+ correspondence accuracy for AI-generated medical codes.

• Significant reduction in coding latency and cost through optimized SLM deployment.

• Successful integration of the SLM roadmap across the Omega Digital Platform.

• Strong budgeting skills with the ability to contain in high-performance compute environments.

Supervisory Responsibility

No.

Work Environment

This job operates in a remote home office environment. This role routinely uses standard office equipment such as computers and phones

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; and talk or hear. The employee must occasionally lift or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

Position Type/Expected Hours of Work

This is a full-time position. Days and hours of work are generally Monday through Friday, 8:00 a.m. to 5 p.m. This position occasionally requires long hours and weekend work.

Travel

Minimal travel required; up to 10%

Equal Employment Opportunity:

Omega Healthcare is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, protected veteran status, and genetic information, or any other basis protected by applicable law. Omega Healthcare also prohibits harassment of applicants or employees based on any of these protected categories.

Omega Healthcare makes reasonable accommodations when needed for applicants and candidates with disabilities or religious observances. If reasonable accommodation is needed to participate in the job application, interview, or any other part of the hiring process, please contact Human Resources at employeerelationsus@omegahms.com

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Employee may perform other duties as assigned.

Required Education and Experience

• Master’s degree in computer science or AI.

• 10-15 years in data science and machine learning, with at least 5 years in leadership or architectural capacity.

• Proven experience architecting and deploying production-grade AI systems at an enterprise scale with measurable business impact.

• Expert knowledge of Random Forest, SVM, Regression, Boosting, and Bagging.

• Mastery of CNN, RNN, LSTM, and GRU architectures.

• Extensive experience with transformers, language modeling, and Agentic AI.

• Expert-level Python programming and experience in Linux/GPU-based environments.

• Deep understanding of RCM and medical coding standards.

Preferred Education and Experience

• Ph.D. preferred for advanced research and architectural leadership.

• Experience designing/developing models for medical coding.

• Direct experience in Healthcare Tech or RCM automation.