Sr. AIML Engineer Shared Services Automation-Remote

The Senior AI/ML Engineer is a hands-on builder who owns the highest-complexity agentic and LLM-enabled work in the Finance Shared Services pillar. This role designs and implements multi-agent systems intelligent document processing at scale and advanced predictive or generative solutions that extend the program beyond traditional RPA. The Senior AI/ML Engineer mentors AI/ML Engineers partners tightly with the Solution Architect and represents the pillar in cross-program AI practice forums.

Key Responsibilities:

• 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 Mayo Clinic standards.
• Partner with the Solution Architect on architecture reuse and 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; share patterns with Revenue Cycle and IA Enablement.
• Evaluate emerging AI capabilities and drive adoption decisions for the pillar.

A masters degree in engineering computer science mathematics health science or a related field with 4 years of experience

OR

A bachelors degree with 6 years of experience

Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries showcasing an understanding of healthcare technology.
Demonstrated leadership in managing complex projects with a proven ability to navigate intricate project requirements and deliver successful outcomes.
Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Demonstrated expertise in cloud infrastructure environment and software development tools.
Experience working with large complex and heterogeneous data sets preferably in healthcare.
Skilled in AI/ML techniques and frameworks.
Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities.
Demonstrated initiative in administration education software development and technical reporting.
A commitment to mentoring and training less-experienced team members coupled with strong interpersonal communication and time management skills.

Preferred Qualifications:

• 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.).

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