Jobs → Customer Support → Solution Architect – AI/ML & Agentic AI

About the Role We are looking for an experienced Solution Architect to lead AI/ML and Agentic AI architecture for a transformation program. The role involves translating business opportunities into working AI solutions, driving POCs and MVPs, and establishing architecture patterns for enterprise-scale deployment. Key Responsibilities • Define AI/ML and Agentic AI architecture aligned with enterprise technology standards. • Establish model orchestration, API integration, data access, security, and deployment patterns. • Translate business requirements into agentic AI use cases, POC designs, and MVP delivery plans. • Select appropriate AI models and solution approaches based on business needs and available data. • Define solution components, interfaces, dependencies, and technical architecture decisions. • Establish measurable success criteria and evaluation frameworks for POCs and MVPs. • Lead rapid design, development, integration, testing, and demonstrations with offshore AI/ML engineering teams. • Collaborate with enterprise architecture, data, security, infrastructure, business, and platform stakeholders. • Define the roadmap for moving successful prototypes toward production, including governance and operational readiness. Requirements • Senior-level enterprise solution architecture experience • Hands-on architecture experience in AI/ML, Generative AI, and Agentic AI • Strong understanding of LLM/model orchestration, APIs, and data integration • Knowledge of AI security, privacy, access controls, and deployment • Experience with observability, evaluation, and production-readiness practices • Ability to translate business needs into technical designs and engineering backlogs • Strong stakeholder communication and presentation skills • Ability to work onsite in Durham, NC Preferred Qualifications • Healthcare, diagnostics, laboratory operations, or Revenue Cycle Management (RCM) experience • Cloud AI platforms and MLOps/LLMOps • Responsible AI and enterprise model governance • Experience delivering Agentic AI POCs and MVPs on accelerated timelines