Senior AI/ML Engineer

athenahealth

Senior AI/ML Engineer designing and delivering AI solutions for healthcare at athenahealth. Collaborating with teams to enhance product experiences for clinicians through machine learning.

Posted 6/4/2026full-timeAustin • Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $124,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AWSPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Participate in end-to-end AI/ML projects, from research and design through deployment and ongoing maintenance, to deliver scalable production systems.
Implement ML pipelines and production-grade infrastructure that support high-volume workloads and reliable model execution.
Partner with cross-functional teams to integrate AI capabilities that align with business goals and customer needs.
Research and prototype new AI/ML algorithms and techniques to support innovation and product development.
Help establish best practices for AI/ML development, deployment, monitoring, and governance across the team.
Monitor model performance, scalability, and cost in production and contribute to continuous optimization.
Apply AI tools and techniques in day-to-day engineering work to improve productivity, support experimentation, and strengthen evaluation of model behavior, outputs, and system impact.
Advocate for responsible AI by considering fairness, transparency, data privacy, and appropriate use in model design and deployment.
Collaborate with engineering partners to move models from prototype to production using repeatable, maintainable approaches.
Document technical decisions, model behavior, and operational considerations to support shared understanding and long-term maintainability.

Requirements

What you’ll need

Bachelor's Degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field
4–6 years of professional experience in software engineering, with exposure to software development, data science, or AI/ML work
Experience contributing to AI/ML projects across the model lifecycle, including research, prototyping, deployment, or monitoring
Foundational knowledge of classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, and Generative AI concepts
Familiarity with large language models, GPT, BERT, LangChain, and LangGraph concepts and applications
Experience or exposure to building and deploying AI/ML systems in AWS
Proficiency in Python and working knowledge of a JVM language/service
Proficiency in working with SQL and non-SQL data
Experience with at least one major ML framework, such as TensorFlow or PyTorch
Exposure to MLOps and machine learning workflow orchestration; experience with AWS SageMaker is a plus
Strong communication and interpersonal skills, with the ability to work effectively across technical and non-technical partners.
Interest in staying current with AI research and applying new techniques responsibly in production.
Healthcare technology experience is a plus.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Tuition assistance
Employee resource groups
Collaborative workspaces

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMLmachine learning pipelinesdeep learningNatural Language UnderstandingNatural Language ProcessingGenerative AIPythonSQLTensorFlow

Soft Skills

communicationinterpersonal skillscollaborationproblem-solvinginnovation