AIML Engineer Shared Services Automation-Remote

The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops deploys and supports ML models LLM-based components and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect Senior AI/ML Engineer and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems.

Key Responsibilities:

• Develop and deploy ML models LLM-enabled components and agentic automations supporting Finance Shared Services use cases.
• Integrate AI components with UiPath automations using Maestro AI Center Document Understanding and Communications Mining where appropriate.
• Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment reuse and standards.
• Own responsible model lifecycle practices: evaluation monitoring drift detection and retraining.
• Contribute to engineering practice: code review source control CI/CD and testing.
• Support production solutions triage incidents and deliver root-cause fixes.
• Stay current on emerging AI capabilities and surface candidate applications for Finance.

A masters degree in engineering computer science mathematics health science or a related field and 1 year experience

OR

A bachelors degree with 3 years of experience.

Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries showcasing an understanding of healthcare technology.
Skill in cloud infrastructure environment and software development tools.
Experience working with large complex and heterogeneous data sets preferably in healthcare.
Skill in AI/ML techniques and frameworks.
History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities.
Strong interpersonal communication and time management skills.

Preferred Qualifications:

• 3 years of hands-on AI/ML engineering experience including production deployments.
• Strong proficiency in Python and modern ML/AI libraries.
• Experience with LLM-based solutions (prompting RAG tool use evaluation).
• Working experience with UiPath or comparable automation platforms.
• Experience with Azure GCP or another major cloud platform for AI workloads.
• Experience with agentic frameworks (LangChain LangGraph CrewAI or similar) and UiPath Maestro.
• Experience in healthcare Finance or other regulated environments.
• Azure AI Engineer AWS ML Specialty or comparable certifications.

*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.