Sr. AI Engineer, Intelligent Health Platform

MedeAnalytics

104d • $130,000 - $145,000

About The Position

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data—and helped thousands of organizations achieve their potential along the way. Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape. Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals. And that’s just the beginning. With a deep understanding of the complex challenges facing the healthcare industry, MedeAnalytics offers a comprehensive suite of solutions to address key areas such as: Population Health Management: Gain insights into patient populations, identify at-risk individuals, and implement targeted interventions to improve health outcomes. Value-Based Care: Optimize care delivery, reduce costs, and enhance patient satisfaction by aligning with value-based care models. Revenue Cycle Management: Streamline revenue cycle processes, improve reimbursement rates, and minimize denials. And more… MedeAnalytics is committed to delivering cutting-edge technology and exceptional customer service. Our team is passionate about transforming healthcare and making a positive impact on the lives of patients. At MedeAnalytics, a leader in payer and provider analytics, we are evolving beyond traditional reporting to build the industry's first intelligent Health Fabric. Our mission is to power the future of Value-Based Care (VBC) by engineering AI-driven managed actions directly into the healthcare workflow. This isn't just about creating dashboards; it's about launching intelligent agents that can reason, act, and learn within a complex ecosystem to proactively improve health outcomes. We are seeking a highly skilled and motivated Senior AI Engineer with experience in building agentic systems to join this pioneering team. You will be a core contributor to designing and building our foundational AI systems, turning our vision for a Health Fabric into reality.

Requirements

• 5+ years of professional experience building and deploying end-to-end AI/ML systems preferably in a production Healthcare environment.
• A proven track record of designing and building AI agents or complex Agentic Workflows.
• Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Expert-level mastery of Python and its Machine Learning (ML) ecosystem (PyTorch, TensorFlow, Hugging Face).
• Deep, hands-on experience within the AWS ecosystem, with specific expertise in services for AI/ML (e.g., SageMaker, AWS Bedrock), compute (EC2), and data (S3).
• Proven ability to work with large-scale data pipelines and modeling workflows using modern data platforms like Snowflake.

Nice To Haves

• Practical experience with Graph Databases like Neo4j, Neptune, PuppyGraph and applying Graph Neural Networks (GNNs).
• Background in Reinforcement Learning (RL) or other online learning paradigms.
• Knowledge of causal inference methodologies and their practical application.
• A portfolio of open-source contributions, patents, or publications in AI conferences.

Responsibilities

• Develop our Agentic Ecosystem: Design and build our multi-agent system, defining how autonomous agents collaborate and execute actions.
• Implement and refine complex Agentic Workflows using leading frameworks.
• Build Advanced Generative AI Solutions: Engineer and deploy sophisticated systems using Large Language Models (LLMs).
• Leverage services like AWS Bedrock to create advanced Retrieval-Augmented Generation (RAG) pipelines and other complex reasoning systems.
• Model the intricate web of healthcare relationships using Graph Databases (e.g., Neo4j, AWS Neptune).
• Develop and apply Graph Neural Networks (GNNs) to uncover hidden patterns and drive predictive insights.
• Own the End-to-End ML Lifecycle: Implement the full Machine Learning (ML) lifecycle on our cloud-native platform.
• Build, train, and deploy models at scale using our modern data stack centered on AWS and Snowflake.
• Contribute to Innovation: Stay at the forefront of AI research and apply cutting-edge techniques and models to solve practical, high-impact problems.

Benefits

• Comprehensive Medical, Dental, and Vision Coverage – Effective the first of the month following your start date
• Company-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD)
• Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing
• 401(k) Plan with company match
• Paid Holidays and Paid Time Off (PTO) Accruals
• Employee Referral Bonus Program
• Professional Development Opportunities to support your growth

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 251-500 employees