Sr. AI Solution Architect
Contact Details: 1. Sandeep Bisane Email [email protected] Cell: (732) 802-7361 Job Title: Sr. AI Solution Architect Location: Remote Duration: 12 Months+ Years of Experience: 8+ Years Required Hours/Week: 40 Hours/Week Notes:
- Candidate must have strong Health Payer Experience.
- Certifications in AI, automation, RPA, or cloud platforms are a plus but not required.
Job Overview:
- The Senior AI Solution Architect leads enterprise AI and intelligent automation initiatives, translating business problems into scalable solutions through hands-on POC development.
- Designs and builds AI-driven prototypes (agents, copilots, automated workflows) using Microsoft Copilot Studio, Salesforce Agentforce, and UiPath.
- Applies deep understanding of healthcare payer operations, workflows, and value streams to deliver “as-is” and “to-be” architectures aligned with enterprise standards, Responsible AI, data governance, security, and HIPAA. Partners with Agile teams and may serve as technical lead.
Duties and Responsibilities:
- Partner with business leaders, product owners, and SMEs to identify, prioritize, and define AI/automation use cases tied to measurable outcomes.
- Translate business workflows, manual processes, and decision points into AI/automation solution designs and POCs.
- Communicate AI concepts, value, limitations, and risks to non-technical stakeholders.
- Evaluate AI platforms, automation tools, and RPA technologies for use case suitability.
- Analyze current business and IT environments to identify automation, optimization, and orchestration opportunities.
- Assess data readiness, integration dependencies, security, and compliance requirements.
- Design and develop hands-on POCs including intelligent agents/copilots (Copilot Studio, Agentforce) and RPA solutions (UiPath or equivalent).
- Lead architecture and technical design for conversational AI, agent workflows, decision support, process automation, and document processing with RPA.
- Create architecture artifacts (solution blueprints, automation flows, data/integration diagrams, security and compliance controls) and define design standards and reusable patterns.
- Collaborate with cross-functional teams and Agile teams to ensure scalable solutions, provide architectural guidance (risks, dependencies, technical debt), and ensure compliance with HIPAA, data privacy, and enterprise security standards.
Required Skills and Experience:
- 8+ 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 Skills:
- 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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