Lead AI Engineer

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers—including 9 of the top 10 payers across the country. Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai. 

The Lead AI Engineer will drive the development of intelligent systems that extract and structure data from unstructured documents such as PDFs, scanned forms, and free-text content. This role will lead the design and deployment of advanced machine learning and generative AI solutions, with a particular emphasis on language models (SLM/LLMs) and their application to document understanding and data extraction at scale.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

• Lead the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction. 
• Build and create good datasets and a system of good validation and verifications of data and ML systems. 
• Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from complex unstructured content. 
• Develop NLP pipelines leveraging techniques such as OCR, entity recognition, text classification, summarization, and semantic parsing. 
• Integrate LLMs with retrieval systems (RAG), vector databases, and structured outputs suitable for downstream consumption. 
• Collaborate cross-functionally to align technical solutions with product requirements and compliance needs. 
• Mentor a team of AI/ML engineers, establish best practices in model training, evaluation, and monitoring. 
• Stay abreast of the latest advancements in generative AI and apply cutting-edge techniques to real-world document challenges. 

REQUIRED QUALIFICATIONS

• Minimum of seven (7) years of experience in AI/ML engineering, with at least three (3) years in a technical or team leadership role 
• Previous Technical Leadership in the AI/ML leadership space
• Hands-on experience building and deploying S/LLMs or generative AI applications (e.g., using Llama, Deepseek or similar frameworks) 
• Proven track record of extracting structured data from unstructured document sources, including scanned forms, free-text reports, and complex layouts 
• Strong software engineering skills in Python and ML frameworks (e.g., Kubeflow, PyTorch, multi-agentic frameworks) 
• Experience with OCR technologies (e.g., Tesseract, Amazon Textract), NLP techniques, and model deployment in production environments 
• Deep understanding of NLP methods including embeddings, transformers, named entity recognition (NER), and text classification 
• Familiarity with MLOps, version control, CI/CD, and cloud platforms (AWS, GCP, or Azure) 

PREFERRED QUALIFICATIONS

• Experience implementing retrieval-augmented generation (RAG), prompt engineering, or fine-tuning foundation models 
• Familiarity with vector databases (e.g., Postgres-pg-vector, Pinecone, FAISS, Weaviate) and semantic search 
• Strong experience shipping production ML systems with a track record of monitoring and improving the ML systems 
• Experience working in regulated domains such as healthcare, legal, or finance

***The US base salary range for this full-time position is:

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***

Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.