AI Architect

Omega Healthcare Solutions • United States,

19h • Remote

About The Position

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.

Requirements

• 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.
• Expertise in Python, scientific computing (TensorFlow, PyTorch), and optimized SQL designs for complex analytical data access.
• Experience with AWS or Azure platforms for ML/AI solutions.
• Knowledge of CI/CD, model versioning, and lifecycle management.
• Experience with prompt engineering, evaluation metrics, and real-time performance monitoring.
• Experience with embeddings, transformers, and large-scale language models.
• Experience with ML, DL, and Agentic AI solutions utilizing reasoning frameworks (e.g., Chain-of-Thought).
• Experience with deep learning architectures (CNN, RNN, LSTM) and NLP-based systems.
• Experience with model compression techniques (quantization/distillation) and inference optimization.

Nice To Haves

• Experience in healthcare compliance, HIPAA, and Responsible AI governance.
• Experience with Auto-Coding AI Engine.
• Experience mentoring Data Scientists and ML Engineers.
• Experience leading design reviews and collaborating with product, security, and clinical stakeholders in an Agile environment.

Responsibilities

• 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.

Benefits

• Equal Employment Opportunity employer.
• Consideration for employment without regard to 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.
• Prohibition of harassment of applicants or employees based on any of these protected categories.
• Reasonable accommodations when needed for applicants and candidates with disabilities or religious observances.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed