Software Engineer, Healthcare Revenue Cycle

Current Need :

Do you have a passion for AI and a desire to solve complex challenges in the healthcare industry?

We are seeking a talented and experienced Artificial Intelligence Engineer to join our growing team. In this role, you will play a key role in designing and delivering cutting-edge AI solutions to optimize revenue cycle management for our clients.

This is a heavy remote role but must reside in either the Eastern or Central Time Zones. Boston, MA is highly preferred.

Responsibilities :

Be a problem-solver : Identify and analyze complex business challenges within the healthcare revenue cycle and leverage AI to develop innovative solutions.

Build production-grade AI systems : Design, develop, and deploy scalable AI / ML solutions that deliver real-world impact for our clients.

Lead the AI lifecycle : Take ownership of the entire AI lifecycle, from defining architecture to building, testing, deploying, and monitoring models.

Stay ahead of the curve : Utilize state-of-the-art tools and cloud solutions to ensure efficiency and effectiveness

Collaborate effectively : Work closely with cross-functional teams (data engineers, data scientists) to ensure successful project delivery.

Minimum Requirements :

Degree or equivalent and typically requires 4+ years of technical experience processing healthcare claims data.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is a plus.

Critical Skills :

AI Expertise : Proven experience in using large language models (RAG-LLMs), LangChain, and vector databases to architect AI solutions.

Advanced AI skills : Proficiency in prompt engineering, agentic frameworks, and retrieval augmented generation (RAG).

Problem-solving Prowess : A creative and innovative approach to tackling challenges with the latest AI technologies.

Software Development Skills : Strong experience developing software using Python and open-source modeling frameworks (TensorFlow, Keras, PyTorch, Scikit-learn).

Cloud Savvy : 4+ years of experience working with cloud platforms (AWS, GCP, Azure) and AI services (SageMaker, AI Platform, Azure ML).

Team Player : Experience collaborating effectively with diverse teams to deliver end-to-end solutions.

Production-Ready : Experience in production model management, automated testing, and monitoring solutions.

A passion for contributing to open-source projects.

A genuine passion for artificial intelligence and its potential to revolutionize healthcare.

If you are a highly motivated and talented AI engineer who thrives in a fast-paced environment, we encourage you to apply!

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets.

In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

For more information regarding benefits at McKesson, please

Our Base Pay Range for this position

$120,200 - $200,300