Key Responsibilities
AI & Agentic Architecture
- Design and implement Agentic AI systems capable of autonomous decision-making and task orchestration.
- Architect multi-agent workflows integrating LLMs, AI services, APIs, and automation tools.
- Build AI-powered orchestration frameworks that combine automation, reasoning, and adaptive learning.
- Define enterprise AI architecture patterns for scalable AI deployments.
Intelligent Automation
- Lead end-to-end automation solution design using UiPath.
- Architect AI-infused automation solutions integrating:
- Document Understanding
- AI Center
- Process Mining
- Task Mining
- Develop reusable automation frameworks and accelerators.
AI Solutioning
- Translate business requirements into AI-driven automation solutions.
- Evaluate and integrate AI models, LLM platforms, and AI services.
- Identify opportunities for hyperautomation using AI + RPA + APIs.
- Provide technical leadership in AI adoption and automation transformation programs.
Platform Integration
- Integrate automation and AI with enterprise systems such as:
- ERP
- CRM
- Data platforms
- APIs and microservices
- Design AI + automation orchestration layers.
Governance & Best Practices
- Define automation and AI architecture standards.
- Ensure security, compliance, and responsible AI practices.
- Establish DevOps/MLOps practices for AI automation pipelines.
Leadership & Collaboration
- Mentor automation engineers, AI engineers, and architects.
- Collaborate with business stakeholders, product teams, and enterprise architects.
- Drive innovation initiatives in Agentic AI and intelligent automation.
Required Skills
AI & Agentic Systems
- Experience designing AI-driven automation and agentic workflows
- Hands-on experience with:
- LLM integrations
- Prompt orchestration
- AI APIs
- Autonomous agent frameworks
- Understanding of AI reasoning workflows and decision systems
Automation
- Experience with:
- UiPath Orchestrator
- AI Center
- Document Understanding
- Integration Service
- Process Mining / Task Mining
- Experience building enterprise-scale RPA solutions
Cloud & Data
- Experience with cloud platforms such as:
- AWS
- Azure
- GCP
Skills Required
- Experience designing AI-driven automation and agentic workflows
- Hands-on experience with LLM integrations
- Experience with UiPath Orchestrator
emids Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about emids and has not been reviewed or approved by emids.
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Fair & Transparent Compensation — Pay is considered market‑matched in certain U.S. roles, with experienced technical and leadership tracks described as competitive.
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Leave & Time Off Breadth — PTO, paid holidays and sick time, and sabbatical leave are highlighted as part of the standard package.
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Flexible Benefits — A remote‑work program and flexibility options are referenced as part of the offering.
emids Insights
What We Do
emids is healthcare's digital transformation leader, delivering business and tech solutions that help payers, providers and tech-enablers maximize technology to deliver care better. As a global partner headquartered in Nashville, TN, emids helps bridge the critical gaps in accessible, affordable, high-quality healthcare by providing advisory consulting services, custom application development, and data solutions. Services include EHR application deployment and management, analytics, data integration and governance, software development and testing, and business intelligence.
