AI Architect

Omega Healthcare Management Services is seeking an AI Architect to define the architecture and strategy for Small Language Models and advanced AI solutions. This senior technical leadership role involves end-to-end ownership of model design and deployment, ensuring compliance with healthcare standards while mentoring teams and driving AI strategy.

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