Urgent Need for Senior AI Solution Architect - Remote EST
Work : 100% Remote
Job summary:
Senior AI Solution Architect
Job Summary
The Senior AI Solution Architect proactively and holistically leads and supports enterprise architecture (EA) activities related to artificial intelligence (AI) and intelligent automation. This role is responsible for translating prioritized business problems into practical, scalable AI- and automation-enabled solutions, with a strong emphasis on hands-on proof-of-concept (POC) development.
This role understands business goals, value streams, capabilities, and operational workflows and applies that understanding to the design of AI, agent-based, and automation solutions across healthcare payer operations. The Senior AI Solution Architect bridges business needs and technology solutions by designing and building working prototypes such as intelligent agents, copilots, and automated workflows using platforms including Microsoft Copilot Studio, Salesforce Agentforce, and RPA tools such as UiPath.
The role produces both architectural artifacts and executable POCs that guide the organization s portfolio of as-is and to-be AI and automation solutions, ensuring alignment with enterprise architecture standards, Responsible AI practices, data governance, security, and healthcare regulatory requirements including HIPAA. The role works closely with Agile teams and may serve as a technical lead for AI and automation initiatives.
Job Requirements
Required Qualifications
12+ years of experience in information technology, with at least 4 years in solution or enterprise architecture roles.
Demonstrated hands-on experience developing AI and automation solutions, including proofs of concept.
Direct experience building intelligent agents or copilots using:
Microsoft Copilot Studio
Salesforce Agentforce
Hands-on experience with Robotic Process Automation (RPA) tools such as:
UiPath (required)
Designing, building, and orchestrating automated workflows
Strong understanding of AI and automation solution patterns, including:
Agent-based workflows
AI-assisted automation
Human-in-the-loop designs
Experience integrating AI and RPA solutions with enterprise systems and data sources using APIs and middleware.
Understanding of healthcare data privacy, security, and regulatory requirements (HIPAA).
Experience working within Agile / Scrum teams and delivery models.
Strong domain knowledge of healthcare payer operations (e.g., claims, enrollment, provider, care management, prior authorization).
Preferred Qualifications
Experience with additional AI/ML platforms (e.g., Azure OpenAI, Azure AI Services).
Experience combining RPA with AI for intelligent automation scenarios.
Familiarity with AI governance, Responsible AI practices, and model lifecycle management.
Experience supporting an Automation or AI Center of Excellence (CoE).
Experience with Healthcare Payer Core Administrative Processing System (CAPS) like Facets
Experience with Agile/Scrum methodologies
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