Note: The job is a remote job and is open to candidates in USA. Omega Healthcare Management Services is a leading company focused on optimizing revenue cycle operations and healthcare solutions. They are seeking an AI Architect to define the architecture and strategy for Small Language Models and advanced AI solutions, ensuring clinical-grade accuracy while mentoring teams and influencing AI strategy across the organization.
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
Skills
- 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
- Ph.D. preferred for advanced research and architectural leadership
- Experience designing/developing models for medical coding
- Direct experience in Healthcare Tech or RCM automation
Benefits
- Health, dental, and vision coverage
- Voluntary insurance options
- A 401(k) plan with employer match
- Professional development opportunities
- Paid time off
- Holiday pay
- Eligible employees may also have the opportunity to participate in bonus programs, commissions, or other variable incentive plans
Company Overview
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