AI Architect

Position Title

AI Architect

Location

Durham NC (onsite)

Duration

C2C

Job Description

Position Summary

The Solution Architect will define the AI/ML and agentic architecture for the RCM transformation program and drive agentic solutions from proof of concept through MVP. The role will translate prioritized business opportunities into working solutions on rapid timelines, demonstrate tangible outcomes to stakeholders, and establish the integration, data-access, security, deployment, and evaluation patterns needed to progress successful concepts toward production.

Key Responsibilities

Define the AI/ML and agentic architecture in alignment with the target technology architecture.

Establish model, orchestration, integration, data-access, security, and deployment patterns.

Translate prioritized business opportunities into agentic solution use cases, POC designs, and MVP delivery plans.

Select appropriate models and solution techniques based on the use case, available data, constraints, and evaluation goals.

Define solution components, interfaces, dependencies, and technical decision points.

Define measurable success criteria and evaluation approaches for each POC and MVP, with a clear demonstration plan for stakeholders.

Lead the rapid design, build, integration, testing, and demonstration of agentic POCs and MVPs with the offshore AI/ML engineering team.

Drive rapid delivery cycles and stakeholder demonstrations while documenting the path from prototype to production, including architecture, security, operationalization, and governance considerations.

Collaborate with Labcorp enterprise architecture, data, security, infrastructure, business, and platform stakeholders.

Required Qualifications

Senior enterprise solution-architecture experience across complex, integrated technology environments.

Hands-on architecture experience with AI/ML, generative AI, agentic systems, model orchestration, APIs, and data integration.

Strong understanding of security, privacy, data access, deployment, observability, and production-readiness considerations for AI solutions.

Ability to convert business problems into clear solution designs, engineering backlogs, interfaces, evaluation criteria, and rapid delivery increments.

Strong communication and demonstration skills for business and technology stakeholders.

Ability to work onsite and collaborate directly with client stakeholders in Durham, North Carolina.

Preferred Qualifications

Experience in healthcare, diagnostics, laboratory operations, or Revenue Cycle Management.

Experience with cloud AI platforms, MLOps/LLMOps, responsible AI, and enterprise model governance.

Demonstrated experience delivering agentic AI POCs and MVPs on accelerated timelines and presenting working outcomes to stakeholders.

Expected Outcomes

A coherent AI/ML and agentic architecture aligned with Labcorp technology standards.

Rapidly delivered agentic POCs and MVPs with clear interfaces, dependencies, controls, and measurable evaluation criteria.

Effective technical direction for the offshore engineering team.

Frequent stakeholder demonstrations that validate value early and a practical roadmap for progressing successful solutions toward production.