Abacus Insights is seeking a Senior AI Engineer to architect, build, and deploy AI platforms that power health-plan data workflows. You will provide technical leadership across distributed teams and collaborate with data quality engineers, data/software engineers, platform engineers, DevOps, product owners, and leadership to scale AI capabilities across the organization. This is a hands-on leadership role focused on models, pipelines, and agentic systems powering products such as Abacus Agents, MCP, SQL and RAG agents. You will mentor software and AI developers and help shape architectural decisions while maintaining alignment with coding standards and policies. Responsibilities include deploying state-of-the-art AI models, developing ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation, and building scalable backend systems with robust logging and observability. You will partner with cross-functional teams to deliver AI solutions that improve user productivity, drive innovation, and advance our data-driven healthcare platform. Key requirements include 3+ years of ML/AI engineering in high-growth environments, 6+ years of software development, 2+ years of experience with Databricks and related tools, strong experience with language modeling and GenAI, proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architectures, and a track record of delivering production-grade systems. A Bachelor's degree or equivalent experience is expected. This is a remote role based in the United States.

Abacus Insights is seeking a Senior AI Engineer to architect, build, and deploy AI platforms that power health-plan data workflows. You will provide technical leadership across distributed teams and collaborate with data quality engineers, data/software engineers, platform engineers, DevOps, product owners, and leadership to scale AI capabilities across the organization. This is a hands-on leadership role focused on models, pipelines, and agentic systems powering products such as Abacus Agents, MCP, SQL and RAG agents. You will mentor software and AI developers and help shape architectural decisions while maintaining alignment with coding standards and policies. Responsibilities include deploying state-of-the-art AI models, developing ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation, and building scalable backend systems with robust logging and observability. You will partner with cross-functional teams to deliver AI solutions that improve user productivity, drive innovation, and advance our data-driven healthcare platform. Key requirements include 3+ years of ML/AI engineering in high-growth environments, 6+ years of software development, 2+ years of experience with Databricks and related tools, strong experience with language modeling and GenAI, proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architectures, and a track record of delivering production-grade systems. A Bachelor's degree or equivalent experience is expected. This is a remote role based in the United States.