Senior AI/ML Engineer (Healthcare)

TL;DR

Senior AI/ML Engineer (Healthcare): Designs and implements multi-agent systems, intelligent document processing at scale, and advanced predictive or generative solutions extending beyond traditional RPA with an accent on UiPath Maestro-based orchestration and production-grade reliability. Focus on defining evaluation, monitoring, responsible AI practices, mentoring engineers, and evaluating emerging AI capabilities.

Location: 100% remote. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.

Salary: $141,024 - $204,526.40 / year

Company

hirify.global is top-ranked in more specialties than any other care provider according to U.S. News & World Report.

What you will do

• Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems.
• Build and deploy advanced ML, LLM, and agentic components end-to-end with production-grade reliability and observability.
• Define evaluation, monitoring, and responsible AI practices for pillar solutions, aligned to hirify.global standards.
• Partner with Solution Architect on architecture, reuse, standards, and with delivery teams on implementation.
• Mentor AI/ML Engineers across the pillar and support their growth.
• Represent Finance Shared Services in cross-pillar AI practice forums and evaluate emerging AI capabilities.

Requirements

• Master’s degree in engineering, computer science, mathematics, health science, or related field with 4 years of experience OR Bachelor’s degree with 6 years of experience.
• Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated industries.
• Demonstrated leadership in managing complex projects and proficiency in fostering collaboration across diverse teams.
• Expertise in cloud infrastructure, software development tools, large complex data sets (preferably healthcare), AI/ML techniques and frameworks.
• Familiarity with best practices in data engineering, data science, AI Engineering, and MLOps.
• Commitment to mentoring, strong interpersonal, communication, and time management skills.

Nice to have

• Strong proficiency in Python and modern ML/AI libraries (PyTorch or TensorFlow, LangChain or LangGraph, scikit-learn).
• Experience with UiPath Maestro, AI Center, Document Understanding, Communications Mining, or comparable automation AI tooling.
• Experience with Azure, GCP or another major cloud platform for AI workloads, including MLOps tooling.
• Experience mentoring engineers and shaping technical practice.
• Relevant AI certifications (Azure AI Engineer, AWS ML Specialty, etc.).

Culture & Benefits

• Competitive compensation and comprehensive benefit plans including medical, dental, vision options.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Competitive retirement package.
• Continuing education and advancement opportunities.
• Full Time, 80 hours/pay period, Standard Days M-F, weekends as needed.